Ting et al., 2018 - Google Patents
A review of finger vein recognition systemTing et al., 2018
View PDF- Document ID
- 16698956703159909605
- Author
- Ting E
- Ibrahim M
- Publication year
- Publication venue
- Journal of Telecommunication, Electronic and Computer Engineering (JTEC)
External Links
Snippet
Recently, the security-based system using finger vein as a biometric trait has been getting more attention from researchers all over the world, and these researchers have achieved positive progress. Many works have been done in different methods to improve the …
- 210000003462 Veins 0 title abstract description 81
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06K—RECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
- G06K9/00—Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
- G06K9/62—Methods or arrangements for recognition using electronic means
- G06K9/68—Methods or arrangements for recognition using electronic means using sequential comparisons of the image signals with a plurality of references in which the sequence of the image signals or the references is relevant, e.g. addressable memory
- G06K9/6807—Dividing the references in groups prior to recognition, the recognition taking place in steps; Selecting relevant dictionaries
- G06K9/6842—Dividing the references in groups prior to recognition, the recognition taking place in steps; Selecting relevant dictionaries according to the linguistic properties, e.g. English, German
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06K—RECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
- G06K9/00—Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
- G06K9/62—Methods or arrangements for recognition using electronic means
- G06K9/6288—Fusion techniques, i.e. combining data from various sources, e.g. sensor fusion
- G06K9/6292—Fusion techniques, i.e. combining data from various sources, e.g. sensor fusion of classification results, e.g. of classification results related to same input data
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06K—RECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
- G06K9/00—Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
- G06K9/62—Methods or arrangements for recognition using electronic means
- G06K9/6267—Classification techniques
- G06K9/6279—Classification techniques relating to the number of classes
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06K—RECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
- G06K9/00—Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
- G06K9/62—Methods or arrangements for recognition using electronic means
- G06K9/6217—Design or setup of recognition systems and techniques; Extraction of features in feature space; Clustering techniques; Blind source separation
- G06K9/6256—Obtaining sets of training patterns; Bootstrap methods, e.g. bagging, boosting
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06K—RECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
- G06K9/00—Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
- G06K9/00221—Acquiring or recognising human faces, facial parts, facial sketches, facial expressions
- G06K9/00268—Feature extraction; Face representation
- G06K9/00281—Local features and components; Facial parts ; Occluding parts, e.g. glasses; Geometrical relationships
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06K—RECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
- G06K9/00—Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
- G06K9/62—Methods or arrangements for recognition using electronic means
- G06K9/6217—Design or setup of recognition systems and techniques; Extraction of features in feature space; Clustering techniques; Blind source separation
- G06K9/6228—Selecting the most significant subset of features
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06K—RECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
- G06K9/00—Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
- G06K9/62—Methods or arrangements for recognition using electronic means
- G06K9/6217—Design or setup of recognition systems and techniques; Extraction of features in feature space; Clustering techniques; Blind source separation
- G06K9/6232—Extracting features by transforming the feature space, e.g. multidimensional scaling; Mappings, e.g. subspace methods
- G06K9/6247—Extracting features by transforming the feature space, e.g. multidimensional scaling; Mappings, e.g. subspace methods based on an approximation criterion, e.g. principal component analysis
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06K—RECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
- G06K9/00—Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
- G06K9/00006—Acquiring or recognising fingerprints or palmprints
- G06K9/00067—Preprocessing; Feature extraction (minutiae)
- G06K9/00073—Extracting features related to minutiae and pores
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| Yang et al. | Fvras-net: An embedded finger-vein recognition and antispoofing system using a unified cnn | |
| Syazana-Itqan et al. | A review of finger-vein biometrics identification approaches | |
| Dian et al. | Contactless palmprint recognition based on convolutional neural network | |
| Ali et al. | Fingerprint recognition for person identification and verification based on minutiae matching | |
| Ting et al. | A review of finger vein recognition system | |
| Chuang | Vein recognition based on minutiae features in the dorsal venous network of the hand | |
| Aboshosha et al. | Score level fusion for fingerprint, iris and face biometrics | |
| Tagkalakis et al. | A novel approach to finger vein authentication | |
| Dev et al. | Review on finger vein feature extraction methods | |
| Tazim et al. | Biometric authentication using CNN features of dorsal vein pattern extracted from NIR image | |
| Soh et al. | A review: Personal identification based on palm vein infrared pattern | |
| Van et al. | Palm vein recognition using enhanced symmetry local binary pattern and sift features | |
| Zayed et al. | A comprehensive survey on finger vein biometric | |
| Jummar et al. | Authentication System Based on Fingerprint Using a New Technique for ROI selection | |
| Benziane et al. | Dorsal Hand Vein Identification Based on Binary Particle Swarm Optimization. | |
| Poinsot et al. | Small sample biometric recognition based on palmprint and face fusion | |
| Rossan et al. | Impact of changing parameters when preprocessing dorsal hand vein pattern | |
| Khalil-Hani et al. | FPGA-based embedded system implementation of finger vein biometrics | |
| Taher et al. | A digital signature system based on hand geometry | |
| Chihaoui et al. | Human identification system based on the detection of optical Disc Ring in retinal images | |
| Sharma et al. | Improved human identification using finger vein images | |
| Marattukalam et al. | On wrist vein recognition for human biometrics | |
| Yu et al. | A novel finger vein pattern extraction approach for near-infrared image | |
| Taher et al. | A digital signature system based on hand geometry-Survey: Basic Components of Hand-based Biometric System | |
| Kashyap et al. | Accurate Personal Identification Using Left and Right Palmprint Images Based on ANFIS Approach |