On-Line Fingerprint Verification
IEEE Transactions on Pattern Analysis and Machine Intelligence
Biometric Identification through Hand Geometry Measurements
IEEE Transactions on Pattern Analysis and Machine Intelligence
Biometrics, Personal Identification in Networked Society: Personal Identification in Networked Society
Palmprint recognition using eigenpalms features
Pattern Recognition Letters
Online Palmprint Identification
IEEE Transactions on Pattern Analysis and Machine Intelligence
Palmprint Authentication (International Series on Biometrics)
Palmprint Authentication (International Series on Biometrics)
Filterbank-based fingerprint matching
IEEE Transactions on Image Processing
An introduction to biometric recognition
IEEE Transactions on Circuits and Systems for Video Technology
Personal Identification Using Palmprint and Contourlet Transform
ISVC '08 Proceedings of the 4th International Symposium on Advances in Visual Computing, Part II
An evaluation of wavelet kernels for palmprint based recognition
AMDO'10 Proceedings of the 6th international conference on Articulated motion and deformable objects
A feature level multimodal approach for palmprint identification using directional subband energies
Journal of Network and Computer Applications
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In recent times, an increasing, worldwide effort has been devoted to the development of automatic personal identification systems that can be effective in a wide variety of security contexts. Palmprints have a number of unique advantages: they are rich in features such as principal lines, wrinkles, and textures and these provide stable and distinctive information sufficient for separating an individual from a large population. In this paper, we present a novel biometric authentication system to identify a person’s identity by his/her palmprint. Being a robust and reliable system, it was tested by more than 8,000 palmprint images with very low false acceptance rate (0.02%), and a relative high genuine acceptance rate (98.83%). The whole authentication process is less than 1 second. Finally, some possible applications are discussed which could be benefited by using palmprint technology.