A Multichannel Approach to Fingerprint Classification
IEEE Transactions on Pattern Analysis and Machine Intelligence
Biometrical fingerprint recognition: don't get your fingers burned
Proceedings of the fourth working conference on smart card research and advanced applications on Smart card research and advanced applications
An Analysis of Minutiae Matching Strength
AVBPA '01 Proceedings of the Third International Conference on Audio- and Video-Based Biometric Person Authentication
Modelling Plastic Distortion in Fingerprint Images
ICAPR '01 Proceedings of the Second International Conference on Advances in Pattern Recognition
Handbook of Fingerprint Recognition
Handbook of Fingerprint Recognition
Fake Fingers in Fingerprint Recognition: Glycerin Supersedes Gelatin
Formal to Practical Security
Fake finger detection based on time-series fingerprint image analysis
ICIC'07 Proceedings of the intelligent computing 3rd international conference on Advanced intelligent computing theories and applications
A new approach to fake finger detection based on skin elasticity analysis
ICB'07 Proceedings of the 2007 international conference on Advances in Biometrics
Fake finger detection based on thin-plate spline distortion model
ICB'07 Proceedings of the 2007 international conference on Advances in Biometrics
Hi-index | 0.00 |
This work introduces a new approach for discriminating real fingers from fakes, based on the analysis of human skin elasticity. The user is required to move the finger once it touches the scanner surface, thus deliberately producing skin distortion. A multi-stage feature- extraction technique captures and processes the significant information from a sequence of frames acquired during the finger movement; this information is encoded as a sequence of DistortionCodes and further analyzed to determine the nature of the finger. The experimentation carried out on a database of real and fake fingers shows that the performance of the new approach is very promising.