TY  - JOUR
T1  - Efficient Fingerprint Recognition System Using Pseudo 2D Hidden Markov Model
AU - Parvathi, R. AU - Saravanan, D. Shanthi 
JO  - International Journal of Soft Computing
VL  - 8
IS  - 5
SP  - 365
EP  - 370
PY  - 2013
DA  - 2001/08/19
SN  - 1816-9503
DO  - ijscomp.2013.365.370
UR  - https://makhillpublications.co/view-article.php?doi=ijscomp.2013.365.370
KW  - Fingerprint recognition
KW  -Pseudo 2D Hidden Markov Model
KW  -fingerprint classification
KW  -authentication
KW  -database
AB  - 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.
ER  -