IEEE Transactions on Pattern Analysis and Machine Intelligence
A Multichannel Approach to Fingerprint Classification
IEEE Transactions on Pattern Analysis and Machine Intelligence
IEEE Transactions on Pattern Analysis and Machine Intelligence
High Confidence Visual Recognition of Persons by a Test of Statistical Independence
IEEE Transactions on Pattern Analysis and Machine Intelligence
Enhancing security and privacy in biometrics-based authentication systems
IBM Systems Journal - End-to-end security
Biometrics: Personal Identification in Networked Society
Biometrics: Personal Identification in Networked Society
Securing biometric templates for reliable identity authentication
ICIC'05 Proceedings of the 2005 international conference on Advances in Intelligent Computing - Volume Part II
Filterbank-based fingerprint matching
IEEE Transactions on Image Processing
Feature-Level Fusion of Iris and Face for Personal Identification
ISNN 2009 Proceedings of the 6th International Symposium on Neural Networks: Advances in Neural Networks - Part III
Chaos and NDFT-based spread spectrum concealing of fingerprint-biometric data into audio signals
Digital Signal Processing
Chaos-based secure satellite imagery cryptosystem
Computers & Mathematics with Applications
PalmHash Code vs. PalmPhasor Code
Neurocomputing
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This letter presents an efficient multimodal face and fingerprint biometrics authentication system on space-limited tokens, e.g. smart cards, driver license, and RFID cards. Fingerprint templates are encrypted and encoded/embedded into the face images in such a way that the features, which are used in face matching, are not significantly changed during encoding and decoding. As a result, the verification accuracy based on decoded images is similar to that with original images. Experimental and simulation results show that the proposed scheme is an efficient and a cheap solution to the multimodal biometrics authentication on space-limited tokens without degrading the overall decoding and matching performance of the biometrics system. Besides, the proposed system can also be beneficial to cope with the problems of unimodal biometrics systems.