KR102058268B1 - Job Competency Analysing Method using Fingerprint Pattern Data - Google Patents

Abstract

The present invention relates to a job competency analysis method using fingerprint pattern data, the job competency analysis method comprising: a subject fingerprint acquisition step (S100) of acquiring a plurality of fingerprints from a subject using a scanner connected to a computer; The acquired fingerprints are classified according to the fingerprint pattern classification criteria stored in the database using a fingerprint analysis program installed in the computer, and then the weights are added to each fingerprint pattern by adding weights to each other. Fingerprint pattern analysis and information extraction step (S200) for extracting the main personality, secondary personality, potential personality information and job competency information of the test subject using the pattern; And a result output step S300 of outputting a result analyzed through the fingerprint pattern analysis step S200 through a display or a printer.
With the above configuration, the present invention enables the examinee to easily and accurately grasp his / her job competency by analyzing and providing information related to the fingerprint to the examinee relatively objectively.

Description

Job Competency Analysing Method using Fingerprint Pattern Data}

The present invention relates to a method for analyzing job competence using fingerprint pattern data. More specifically, a plurality of finger fingerprints are acquired from a person to be inspected (a subject) using a scanner, and the acquired fingerprint is installed on a computer or a PC. Fingerprint pattern that uses the fingerprint analysis program to classify and analyze fingerprints to enable scientific analysis of competences such as test subject aptitude, relationship, learning coaching, and job competency (hereinafter referred to as 'job competency'). It relates to job competence analysis method using data.

Fingerprints are formed on the fingertips of human fingers, and these fingerprints are closely related to the degree of development of the cerebral brain, which is called the second brain, and shows the characteristics, characteristics, and incidence of the subject according to the difference in the degree of cerebral development. It is known that there is a marked difference in (occupation).

Recently, a business that uses fingerprint data that extracts basic information such as the personality and characteristics of the subject by using the fingerprint pattern data of the subject and analyzes the job capability of the subject based on the extracted information Actively, one example of this is the aptitude test method using a fingerprint disclosed in Japanese Patent Laid-Open No. 2008-0004648.

This patent document includes the first step of inputting fingerprint images and customer information from counseling customers, and processing the collected fingerprint images to remove noise, leaving only the ridges through thinning, and classifying them according to shape. A second step of matching the multiple intelligence areas of Gardner, which classifies the shape of the fingerprint of each finger and the human intelligence into various areas, and a fourth step of matching the shape of the fingerprint of each finger with a pre-classified learning method. And a fifth step of matching the shape of the fingerprint of each finger with the pre-classified personal characteristics, and a sixth step of notifying the customer of the result of analyzing the fingerprint image, wherein the fingerprints of various shapes are illustrated in FIG. 1. It is classified according to the pattern as shown in the figure, and it is used for aptitude test by classifying personal characteristics according to each pattern.

However, conventionally, only one or two types of fingerprint patterns, which are simply prominent among the acquired fingerprints, are used for the aptitude test. Therefore, it is difficult to obtain information on the potential personality of the test subjects. The main and secondary personality information also has a problem that the reliability of the test results is inferior as the accuracy is greatly reduced.

KR 10-0661140 B1 KR 10-1683165 B1 KR 10-2008-0004648 A KR 10-2010-0138080 A KR 10-2010-0138670 A KR 10-2011-0036984 A KR 10-2011-0020705 A KR 10-2014-0042015 A

Therefore, the present invention was devised to solve the problems of the conventional job competency analysis method using the fingerprint pattern as described above, and extract more accurate job competency information and personality information by using the fingerprint of the inspected subject obtained by the scanner. The purpose of this study is to provide a job competency analysis method using fingerprint pattern data that can be provided to test subjects.

The object of the present invention as described above comprises a subject fingerprint acquisition step of acquiring a plurality of fingerprints from a subject by using a scanner connected to a computer for a job capability analysis method using fingerprint pattern data; The obtained fingerprints are classified according to the fingerprint pattern classification criteria stored in the database using analysis programs installed in the computer and given weights respectively, and the weights of the classified fingerprint patterns are summed separately to add the top three types according to the sum score. Fingerprint pattern analysis and information extraction step of extracting the main personality, the secondary personality, the potential personality information and the job competency information of the subject using the fingerprint pattern; And a result output step of outputting the result analyzed through the fingerprint pattern analysis step through a display or a printer.

In addition, the present invention is characterized in that the weight is given differently according to the index finger, the middle finger, the obscure finger, the ring finger from the left and right hand thumb of the subject in the fingerprint pattern analysis and information extraction step.

In another aspect, the present invention is characterized by applying a weight by inferring a finger fingerprint that is not obtained from the subject to the fingerprint pattern appeared the most among the fingerprints obtained from the subject.

Furthermore, the present invention classifies the fingerprint pattern classification criteria of fingerprint pattern analysis and information extraction into stable, inquiry type, emotional type, creative type, passion type, thinking type, relational type, realistic type, initiative type, and principle type type according to the fingerprint pattern. Pattern number is assigned in order from 1 to 10, and when extracting job competency information, it is possible to extract unique characteristic information of the finger with the fingerprint having the highest pattern number based on the pattern number. It is done.

According to the present invention, since the information related to the fingerprint is relatively objectively analyzed and provided to the test subject, the test subject can easily and accurately grasp his / her job competency, and thus, reference materials or basics for selecting his occupation or designing the future. You can easily decide whether to use it as a resource.

In addition, while the present invention assigns different weights to the fingerprint patterns obtained for each finger, in particular, higher weights are assigned to the fingerprint patterns of the thumb and forefinger, which have a greater influence on job competency, etc. Analysis is possible.

1 is a view showing an example of classifying a fingerprint pattern in the aptitude test method using a conventional fingerprint,
2 is a flowchart showing an example of a job capability analysis method using fingerprint pattern data according to the present invention;
3 is a view showing an example of a fingerprint pattern classification criteria given a pattern number used in the job capability analysis method using the fingerprint pattern data according to the present invention;
Figure 4 is a table showing the type of personality that appears by fingerprint pattern classification criteria according to the present invention,
5 to 15 are diagrams showing examples of fingerprint patterns that appear differently depending on the type of occupation.

Hereinafter, with reference to the accompanying drawings showing a preferred embodiment will be described in more detail the configuration and operation of the present invention.

The present invention obtains fingerprints of a finger using a scanner from a test subject, classifies them according to a fingerprint pattern, analyzes the classified fingerprint patterns, and provides fingerprint pattern data that can provide personality information and job competency information suitable for the test subject. To provide a job capability analysis method utilized, the job capability analysis method of the present invention for this purpose is a fingerprint acquisition step (S100), fingerprint pattern analysis and information extraction step (S200) and result output step as shown in FIG. (S300).

The fingerprint acquisition and analysis process is performed in a computer such as a PC. For this purpose, a fingerprint analysis program is installed and operated to scan, store, and analyze a fingerprint of an examinee.

(1) fingerprint acquisition step (S100)

This step acquires and stores the entire fingerprint from the subject using a scanner connected to a computer that generates and processes fingerprint pattern data.The fingerprint of the subject is obtained from the thumb of the left hand to the index, middle finger, cotton, and ring finger. The index finger, the middle finger, the obscure finger, and the ring finger are scanned from the thumb of the right hand and the right hand, and the scanned fingerprint is assigned an identification number so as to know which finger the finger is obtained.

In this case, the identification number is an Arabic numeral, an alphabet, or a number in which Arabic numerals are mixed with the alphabet according to the scanned finger. Even if some of the fingers of the subject are lost, it is difficult to collect fingerprints of all the fingers. The identification number of the lost finger is also input and filled, so that only the identification number of the fingerprint of the subject's finger can easily distinguish which finger is the fingerprint.

(2) fingerprint pattern analysis and information extraction step (S200)

This step classifies and analyzes the fingerprint of the subject to be scanned and scanned through the fingerprint acquisition step (S100) according to the fingerprint pattern classification criteria using a fingerprint analysis program of the computer, thereby analyzing the information related to the personality and job capability of the subject. As a step of extracting, the fingerprint pattern analysis and information extraction step (S200) again comprises a fingerprint pattern classification step (S210), weight information for each fingerprint pattern step (S220), and a specific step of the information extraction step (S230).

Ⓛ fingerprint pattern classification step (S210)

Fingerprint pattern classification step (S210) is to compare the obtained fingerprint of the inspection target with the fingerprint pattern stored in the database form in the computer to classify by pattern according to the classification criteria, wherein the fingerprint pattern classification criteria are shown in FIGS. 3 and 4 As shown in the figure, stable (arc), inquiry type (tent), emotional type (regular door), creative type (half door), passion type (working door), thinking type (breaking twin head), relational type (Ssang Ki-moon) ), Divided into realistic type (spiral pair gate), dominant type (spiral type), and principle principle type (or principle type, annular type), and pattern number from 1 to 10 by fingerprint pattern (stable type (number 1), inquiry type (number 2) ), Emotional type (No. 3), creative type (No. 4), passion type (No. 5), thinking type (No. 6), relational type (No. 7), reality type (No. 8), initiative type (No. 9) and principles (10).

At this time, the pattern number is given the higher the tendency of fingerprint patterns to be relatively dominant (higher inclination tendency). For example, the principle-oriented fingerprint pattern of pattern No. 10 has the highest dominance among 10 fingerprint patterns. Indicates.

The fingerprints of the test subjects classified according to the fingerprint pattern classification criteria are stored according to the pattern number according to the finger position as shown in Table 1, and then the weight analysis step for each fingerprint pattern (S220) is performed.

Fingerprint Pattern Classification division thumb Index finger stop Cotton Ring finger Left hand 3 4 3 3 3 right hand 6 3 7 10 4

② Weight information acquisition step by fingerprint pattern (S220)

In the fingerprint pattern classifying step (S210), the fingerprint of the test subject is classified according to the fingerprint pattern classification criteria, and then stored as a pattern number according to the finger position. In the step of summing the weights of, the weights given by finger positions are given the highest weights of the thumb of the left and right hands, as shown in Table 2, and then the weights of the index finger and ring finger are higher, The weight is given the lowest, which is known that the thumb and forefinger affect the frontal and frontal lobes, and the ring finger affects the occipital lobe, especially the visual part, and thus greatly affects the personality of the subject. Higher weight in order of thumb, index finger and ring finger associated with prefrontal, frontal and occipital lobes Due handeseo to improve the accuracy and reliability of the character information to be extracted as.

Weight Table by Finger Position division thumb
(Frontal lobe) Index finger
(Frontal lobe) stop
(Parietal lobe) Cotton
(Temporal lobe) Ring finger
Occipital lobe system Left hand 30 20 10 10 20 90 right hand 30 20 10 10 20 90

When the weights of the fingerprints of the test subjects of Table 1 are analyzed (summed) according to the weighting criteria for each finger position shown in Table 2 above, weight information is obtained as shown in Table 3 below according to the pattern number of the fingerprint. The following information extraction step S230 is performed using the weight information.

Weight information for each fingerprint pattern Fingerprint
Pattern number Thumb (30) Index (20) Stop (10) Cotton (10) Ring finger (20) system 3 One One One One One 90 4 - One - - One 40 6 One - - - - 30 7 - - One - - 10 10 - - - One - 10

③ information extraction step (S230)

In this step, after the weight information for each fingerprint pattern is obtained through the weight information acquisition for each fingerprint pattern (S220), the personality information (main character, secondary personality, latent personality) and job information of the test subject are obtained using the weight information. Extracting competency information, etc. At this time, the personality information of the test subject is selected based on the sum of the weighted weights and the fingerprints having the top three weights are selected. The information is extracted by classifying each into.

The job competency information is extracted based on the pattern number given according to the fingerprint pattern classification criteria irrespective of the above weight information. At this time, the job competency information affecting the finger based on the finger with the highest pattern number appears. It is extracted from the pre-stored database, which means that the fingerprint pattern with the higher pattern number is assigned to the fingerprint pattern that has the predominant tendency (higher inclination) than the other characteristics. Fingers can be expected to have a profound effect on the test subject's job capacity.

In other words, the fingerprints of the test subjects shown in Table 1 are described as an example, and since the pattern number of the fingerprint of the right-hand cotton is the highest as 10, it can be seen that the temporal lobe developed while having a creative emotional character with high thinking ability. Therefore, as job competency information, information of a job group capable of expanding skills as the temporal lobe develops is extracted from a database, and the extracted personality information and job competency information are output through a result output step (S300) to be described later.

Extraction of Information According to Fingerprint Pattern Weights of Subjects division Main character Secondary character Potential Job capability Fingerprint
Pattern number 3 4 6 10 Classification tendency Emotional type Creative Thinking Temporal lobe development

Meanwhile, hereinafter, the fingerprint patterns classified and stored in the form of a database in the computer, that is, stable (arc type), inquiry type (tent type), emotional type (regular door), creative type (half door), passion type (working door), and thinking For example, the personality and job competence information of test subjects by type (inner impingement double head), relational type (single gate), reality (spiral pairing gate), dominant type (spiral), and principle principle (circular) will be described.

(a) Stable

As shown in FIG. 4, the stable fingerprint pattern forms a gentle curve as if it is flowing in water, and is also referred to as an arch-shaped gate because it is curved like a bow. Such a stable fingerprint pattern has no triangle point.

In addition, since personality is serious, but rules are important, and preparation is well prepared, there is a lack of activity and flexibility, and vague anxiety about the future pursues psychologically and economically stable aspects of business rather than changing business tasks. Good adherence to the rules and norms, civil servants, education workers, welfare workers, finance workers, office workers, accounting workers, social service workers, health workers, administrative workers, documents workers It is known that it is desirable to work in jobs that produce good results with stable readiness, such as jobs that require security.

(b) inquiry type

As shown in FIG. 4, a triangular pattern appears in the middle of a bow-shaped pattern that is formed in a tent pillar shape. As shown in FIG. 4, a person having such an inquiry-type fingerprint pattern generally has many school students, is logical and analytical, and insights. It is fast and easy to calculate, has a personality characteristic that prefers short answer rather than narrative, and is logical, clerical and capable of execution. Work is appropriate, functional workers, professions, research workers, economic workers, health workers, education workers, machinery workers, service workers, accounting and statistics workers, finance workers, management workers, Administrative, Computer-related, Quality Control It is advisable to engage in a job that produces results with logical analytical power.

(c) emotional

Emotional fingerprint pattern has a triangular shape opposite the horseshoe-shaped tail flows in the direction of the ring finger as shown in Figure 4, emotional, romantic, service to the person having such an emotional fingerprint pattern Deep, gentle, caring, enthusiastic, lacking rational judgment, jealous, impulsive, sometimes urgent in nature, a person who loves and enjoys meetings. To be open and honest and natural in their ability to demonstrate their skills and to be recognized for their skills, sales workers, education workers, design workers, culture workers, sales workers, and social workers. Related Workers, Health Care Workers, Service Workers, Religion It is preferable that professionally engaged in producing good results in emotional frankness, including lions.

(d) creative

The creative fingerprint pattern has a horseshoe-shaped tail flow as shown in FIG. 4 and has a triangular point on the opposite side, and a person with such a creative fingerprint pattern is generally creative and new. Enjoying challenges, being full of personality and observing, but having superior ideas and imagination, it is based on such creativity and imagination. We work with unique ideas by using ideas and methods that are different from the general norm, so that we are involved in technology development, culture and arts, research, research, entertainment, special education, police, Good use of creative observation skills It is advantageous to engage in the occupation and creating a.

(e) passion

Passion-type fingerprint pattern as shown in Figure 4, there is one triangular triangle in each of the left and right finger fingerprints, but one is close to the center point, the other is far, the shape of whorl and loop are combined together , The shape of the peacock's beak or the eye, and the center of the shape is concentric or spiral whorl. Those who have a passionate fingerprint pattern are generally convincing and positive, and achievement is important. Greedy, passionate, active, good sense of humor, selfish, busy mind, active and active attitude, strong passion and positive mind, active energy to pursue the professional path, Culture and arts practitioners, educators who demonstrate creative and artistic abilities because of their management techniques and persuasive persuasiveness. Obtained popular to the public, including relevant personnel, management practitioners, trade practitioners, general clerical workers, entertainment workers, broadcasting workers, religious workers, it is advantageous to engage in the occupation to produce results by the passionate sense.

(f) accident type

The accidental fingerprint pattern has a shape in which two triangular forms are intertwined with each other as one triangular diagram is formed in the fingerprints of the left and right fingers as shown in FIG. 4, and the outline forms a circular shape. A person with a fingerprint pattern is usually thoughtful and considerate, understanding and trying to avoid conflicts, with varying thoughts and reluctant presentations, somewhat lacking in decisiveness, quiet with positive thinking and smoothness and tenderness Religious workers, health workers, skills workers, counselors, office workers, technical developers, statistics and accounting workers, collectors who understand, consider, and do their best without saying anything In jobs that produce results with discretion and delicacy, It is advantageous to work.

(g) relational

The relational fingerprint pattern is a shape in which two loops are crossed while one triangle is formed on each of the left and right finger fingerprints as shown in FIG. 4, and a person with such a relational fingerprint pattern has a general low tolerance and consideration. Because of their understanding, love of travel, avoiding conflict with their surroundings, diverse ideas, lack of concentration and decisiveness, and good bargaining power with the ability and smoothness to assemble and coordinate the whole, Sales and sales workers, trade and office workers, technology workers, travel and guidance workers, education workers, service workers, social workers, business services workers, Compromise negotiations, including administrative workers, religious workers, and workers in various group activities It is engaged in the profession produce results in cooperation is beneficial.

(h) realistic

The realistic fingerprint pattern is a shape in which two snail shapes are intermingled with each other while one triangular finger is formed on the left and right finger fingerprints as shown in FIG. 4. They are good at responding to their ambitions, are good at leadership, are good at judging, handling, and coping, while they have a lack of finishing and concentration, and form relationships in ways that are more efficient than principle and inflexibility. Management and brokerage workers, finance and sales workers, service workers, law workers, police officers, health care workers, education workers, Finance, cultural, arts, sports, etc. It is advantageous to engage in a profession that produces results by volumetric treatment.

(i) driven

As shown in Fig. 4, the fingerprint pattern has a spiral shape as the center point is swirled with one triangular finger on each of the left and right finger prints, and those with such a fingerprint pattern value the basic, want quick results, and pride. Strong, self-managing, selfish, driving, innovative, responsible and focused, while lean towards black and white, attentive, self-centered, independent, and respected. Enjoy the challenging goal of outcomes and compete with independent leaders, such as independent entrepreneurs, business managers, law workers, sports workers, education workers, police officers and firefighters Jobs that produce results by nature are advantageous.

(j) principled

As shown in Fig. 4, the principle-type fingerprint pattern has a triangular shape in each of the left and right finger fingerprints and forms a circle from the center of the ridge. Strong, challenging spirit, close to perfectionism, strong self-esteem, honest, strong sense of responsibility and competition, conservative obsession and lack of heart. In order to achieve this, we take the initiative, thorough commitment and effort to reduce mistakes, so that our self-management ability is excellent, sincere, honorable and patient, business management workers, security service workers, law workers, sports workers, The results are based on the principle and sense of duty, including police officers, firefighters, finance workers, and social workers. The job is to create the glass.

(3) Result output step (S300)

In this step, after the personality information and job competency information of the fingerprint of the examinee is extracted through the fingerprint pattern analysis and information extraction step (S200) as described above, the information is output to the screen through a display connected to a computer or as a result. It is output in the form of an output such as a report and provided to the inspected subject.

The inventors of the present invention target 150 adult men and women who are engaged in various fields to confirm the effectiveness or usefulness of the job competency analysis method using the fingerprint pattern data of the present invention consisting of a series of steps as described above. As shown in FIG. 15, after obtaining two or more fingerprints, a result is obtained by applying the job competence analysis method of the present invention to the obtained fingerprints, and then counseling is provided while providing the derived results to them. I went through the process.

In addition, a questionnaire with a plurality of questionnaires related to job competency such as one's own personality and aptitude, etc., was provided to those who participated in counseling to subjectively evaluate how useful the job competency analysis method of the present invention is. Are summarized in Table 5 below.

division it really is Slightly is average I do not know Not at all
no system Relevance 55 72 20 3 - 150 Feasibility 56 81 13 - - 150 responsibility 45 69 30 4 2 150 objectivity 51 66 25 6 2 150

Looking at the survey results shown in Table 5 above, most of the 150 people who participated in the survey generally evaluated positively on the job competency analysis method using the fingerprint pattern data of the present invention (82%, very so 34%, slightly so). 48%), which acknowledged its usefulness and also showed a high rate of positive answers in reliability and objectivity. It is not difficult to imagine that it can be used as a useful tool.

As described above, the present invention provides a comparatively objective analysis and information of fingerprint-related information to an examinee so that the examinee can easily and accurately grasp his / her job competencies, and references for selecting a job or designing the future. It can utilize as such.

Claims (4)

In the job competency analysis method of analyzing the job competence of the test subject by using the finger fingerprint acquired by the scanner,
Job competence analysis method, the subject fingerprint acquisition step of acquiring a plurality of fingerprints from the subject using the scanner connected to the computer (S100);
A fingerprint pattern classification step (S210) of allowing the computer to classify and store the acquired fingerprint of the test subject into pattern numbers according to finger positions according to fingerprint pattern classification criteria stored in a database in the computer;
The fingerprint pattern is assigned by the computer according to the finger position corresponding to the pattern number for each pattern number from the left hand and the right hand thumb to the index finger, the middle finger, the obscure finger and the ring finger, and the sum of the weights assigned by the pattern numbers is added. Obtaining weight information for each step (S220);
An information extraction step (S230) in which the computer classifies each of the top three pattern numbers having a high weight into a main personality, a secondary personality, and a latent personality in order of high weight;
A result output step (S300) of outputting the result analyzed by the computer through the information extraction step (S230) through a display or a printer (S300);
Including,
In the step of acquiring weight information for each fingerprint pattern (S220), the weight of the thumb is the highest, the weight of the middle finger and the unknown is given the lowest,
In the fingerprint pattern classification step (S210), according to the fingerprint pattern, classified into stable, inquiry type, emotional type, creative type, passion type, thinking type, relation type, realistic type, initiative type, principle type, and then the stable type from the principle principle. Assign the pattern number from 1 to 10 in order from the type,
A method of analyzing job competency using fingerprint pattern data, characterized by extracting unique characteristic information of a finger from which a fingerprint having the highest pattern number is acquired based on a pattern number of a fingerprint from a database and using the job capability information. delete The method according to claim 1,
Finger fingerprint not obtained from the subject is the job capability analysis method using the fingerprint pattern data, characterized in that the weight is inferred to the fingerprint pattern appeared the most frequently obtained from the subject. delete

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