Authors : R. Parvathi and D. Shanthi Saravanan
Abstract: Fingerprint can only uniquely identify a person when compared to other types of biometric features. The existing system used the combination of bayes classifier and Henry classifier to increase the speed of authentication process and to provide accurate classification system, respectively. But the combination of those classifiers in real time systems becomes difficult to implement. This fingerprint recognition system uses the pseudo 2D hidden Markov Model which considers each types of fingerprint as separate states with different levels of Markov chain. During the recognition process, the Markov Model verifies each super states to identify which types of fingerprint, then it can match the given fingerprint image with the image which are kept in database. The proposed research will improve the speed and recognition rate by using the pseudo 2D hidden Markov Model.
R. Parvathi and D. Shanthi Saravanan, 2013. Efficient Fingerprint Recognition System Using Pseudo 2D Hidden Markov Model. International Journal of Soft Computing, 8: 365-370.