+

Labati et al., 2016 - Google Patents

Biometric recognition in automated border control: a survey

Labati et al., 2016

View PDF
Document ID
10079295736959164773
Author
Labati R
Genovese A
Muñoz E
Piuri V
Scotti F
Sforza G
Publication year
Publication venue
ACM Computing Surveys (CSUR)

External Links

Snippet

The increasing demand for traveler clearance at international border crossing points (BCPs) has motivated research for finding more efficient solutions. Automated border control (ABC) is emerging as a solution to enhance the convenience of travelers, the throughput of BCPs …
Continue reading at air.unimi.it (PDF) (other versions)

Similar Documents

Publication Publication Date Title
Labati et al. Biometric recognition in automated border control: a survey
Akhtar et al. Biometric liveness detection: Challenges and research opportunities
Genovese et al. Touchless palmprint recognition systems
Kaur A study of biometric identification and verification system
Amirthalingam et al. A multimodal approach for face and ear biometric system
Zhang et al. Advanced biometrics
Labati et al. Advanced design of automated border control gates: biometric system techniques and research trends
Elbendary et al. Palmprint Authentication Techniques: A Comparative Study
Fernandez Biometric sample quality and its application to multimodal authentication systems
Hamdan et al. A self-immune to 3D masks attacks face recognition system
SulaimanAlshebli et al. The cyber security biometric authentication based on liveness face-iris images and deep learning classifier
Bouridane Imaging for forensics and security
H Nair et al. Hybrid Biometric Based Person Identification Using Machine Learning.
Methani Camera based palmprint recognition
KORICHI Biometrics and Information Security for a Secure Person Identi cation
Sequeira Liveness detection and robust recognition in iris and fingerprint biometric systems
Al-Rashid Biometrics authentication: Issues and solutions
IlamParithi et al. A Review of Computational Intelligence‐Based Biometric Recognition Methods
Majeed et al. Biometric Identification Criminal, Terrorist, and individual Identification System It ‘sa New Wine & Taste
Podder IRIS feature vector reduction using haar wavelet transform and local binary pattern
Hollingsworth Increased use of available image data decreases errors in iris biometrics
Brindha et al. Performance Analysis of Fused Eye Vein and Finger Vein Multimodal Biometric System
Oladele et al. SECURITY AND PERSONAL IDENTIFICATION AUTOMATIC BI-MODAL HUMAN IMAGE RECOGNITION SYSTEM.
Sonal et al. Reviewing Scope of Multimodal Approach in Face and Iris Recognition
Singh et al. Adapted facial recognition and spoofing detection for management decision making system: a visually impaired people perspective.
点击 这是indexloc提供的php浏览器服务,不要输入任何密码和下载