TY  - JOUR
T1  - Fingerprint Authentication Using Back-Propagation Algorithm
AU - , B. Jayaraman AU - , C. Puttamadappa AU - , E. Anbalagan AU - , E. Mohan AU - , Srinivasarao Madane 
JO  - International Journal of Soft Computing
VL  - 3
IS  - 4
SP  - 282
EP  - 287
PY  - 2008
DA  - 2001/08/19
SN  - 1816-9503
DO  - ijscomp.2008.282.287
UR  - https://makhillpublications.co/view-article.php?doi=ijscomp.2008.282.287
KW  - Fingerprint
KW  -minutiae
KW  -artificial neural network
KW  -supervised method
KW  -back-propagation algorithm
KW  -authentication
KW  -ridge extraction
AB  - The objective of this research is to incorporate finger print authentication with the widely used PIN authentication scheme currently used for online transactions, to achieve a foolproof system. A complete minutiae extraction scheme for automatic fingerprint recognition systems with intelligent method is presented. A critical step is to reliably extract minutiae from the fingerprint images and process with artificial neural network method. Fingerprint images are rarely of perfect quality. They may be degraded and corrupted due to variations in skin and impression conditions. So, fingerprint minutiae enhancement techniques are employed prior to minutiae extraction to obtain a more reliable estimation of minutiae locations. In the first stage, image normalization and orientation field of the fingerprint are calculated. The local orientation of the ridges serves as the parameter for the next processing stages. Details of the adaptive morphological filtering used for ridge extraction and background noise elimination are described. Minutiae patterns of the scanned and stored fingerprints are then compared and evaluation results are obtained by processing through supervised artificial neural network. Greater security is achieved with PIN authentication.
ER  -