Title :
A new approach of finger-print recognition based on neural network
Author :
Saropourian, Behnaz
Author_Institution :
Dept.Comput. Eng., Islamic Azad Univ., Kermanshah, Iran
Abstract :
In this issue opposite of other custom and classic patterns of the finger-print recognition that they have working on the single dots existing on the finger-print liked ridge-ending and bifurcation. This new observation is about finger-print recognition that uses state of the single steak in the finger-print image, because patterns of the veins in the finger-print without notice of the finger-print about person, and can be used for identified person. This algorithm can work very fine on the binary images and also gray scanned photo.
Keywords :
fingerprint identification; neural nets; binary image; classic pattern; finger-print recognition; gray scanned photo; neural network; Bifurcation; Biometrics; Fingers; Image recognition; Information security; Multi-layer neural network; Neural networks; Pattern recognition; Stability; Veins; Biometric; Error Propagation; Multilayer Precpetron; Neural Network;
Conference_Titel :
Computer Science and Information Technology, 2009. ICCSIT 2009. 2nd IEEE International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4244-4519-6
Electronic_ISBN :
978-1-4244-4520-2
DOI :
10.1109/ICCSIT.2009.5234593
