TY  - JOUR
T1  - An Efficient Automatic Fingerprint Recognition System for Overlapped Images-Survey
AU - Jeyanthi, S. AU - Maheswari, N. Uma AU - Venkatesh, R. 
JO  - International Journal of Soft Computing
VL  - 7
IS  - 5
SP  - 235
EP  - 241
PY  - 2012
DA  - 2001/08/19
SN  - 1816-9503
DO  - ijscomp.2012.235.241
UR  - https://makhillpublications.co/view-article.php?doi=ijscomp.2012.235.241
KW  - Fingerprint authentication
KW  -latent images
KW  -novel fingerprint separation algorithm
KW  -overlapped images
KW  -testing
KW  -training
AB  - Each human being has distinctive fingerprints. Speed and accuracy 
  are the prerequisites of a Biometric Authentication System. There are some cases 
  several fingerprints can be merged or overlapped in nature they are in low quality 
  also. These kind of overlapped fingerprints create a complicated problem to 
  recognize the person because of separating images is very monotonous and time 
  consuming task without the help from fingerprint experts. In low quality images 
  feature extraction becomes a serious problem. The proposed research describes 
  the Novel Automatic Fingerprint Recognition System (NAFRS) for overlapping images. 
  This research deals with study of various image processing steps for overlapped 
  images. A novel fingerprint separation algorithm is proposed. The proposed system 
  includes preprocessing, feature extraction, fingerprint classification, recognition 
  and retrieval of information that have been considered extensively. The challenge 
  in the existing system is that in all fingerprint databases only a few fingerprint 
  samples from each individual are available for training and testing. The proposed 
  research is planned to improve the performance for overlapped image in terms 
  of accuracy and speed with the increased number of samples for testing and training. 
  This proposed research research tries to reduce false accept rate and false 
  reject rate for latent images.
ER  -