DWT Based Fingerprint Recognition using Non Minutiae Features

Details DWT Based Fingerprint Recognition using Non Minutiae Features DWT Based Fingerprint Recognition using Non Minutiae Features

2011-06-17

arxiv.org/abs/1106.3517v1

IJCSI International Journal of Computer Science Issues, Vol. 8, Issue 2, March 2011, 257-265

Computer Science

Computer Vision and Pattern Recognition

9 pages

Scientific paper

Forensic applications like criminal investigations, terrorist identification and National security issues require a strong fingerprint data base and efficient identification system. In this paper we propose DWT based Fingerprint Recognition using Non Minutiae (DWTFR) algorithm. Fingerprint image is decomposed into multi resolution sub bands of LL, LH, HL and HH by applying 3 level DWT. The Dominant local orientation angle {\theta} and Coherence are computed on LL band only. The Centre Area Features and Edge Parameters are determined on each DWT level by considering all four sub bands. The comparison of test fingerprint with database fingerprint is decided based on the Euclidean Distance of all the features. It is observed that the values of FAR, FRR and TSR are improved compared to the existing algorithm.

Affiliated with

Also associated with

No associations

Rating

DWT Based Fingerprint Recognition using Non Minutiae Features does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.

If you have personal experience with DWT Based Fingerprint Recognition using Non Minutiae Features, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and DWT Based Fingerprint Recognition using Non Minutiae Features will most certainly appreciate the feedback.

Rate now

Comments { 0 }

Profile ID: LFWR-SCP-O-696336