International Journal of Electrical, Electronics and Data Communication (IJEEDC)
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Statistics report
May. 2022
Submitted Papers : 80
Accepted Papers : 10
Rejected Papers : 70
Acc. Perc : 12%
Issue Published : 111
Paper Published : 1546
No. of Authors : 4203
  Journal Paper


Paper Title :
Improved Method Of Latent Fingerprint Recognition Using Descriptor-Based Hough Transform And Texture Features

Author :K.Geethika, M.V.Suresh Kumar, N.Pushpalatha

Article Citation :K.Geethika ,M.V.Suresh Kumar ,N.Pushpalatha , (2014 ) " Improved Method Of Latent Fingerprint Recognition Using Descriptor-Based Hough Transform And Texture Features " , International Journal of Electrical, Electronics and Data Communication (IJEEDC) , pp. 1-4, Volume-2,Issue-10

Abstract : Fingerprints lifted from crime scenes is a routine procedure used for identifying suspects that is extremely important to law enforcement agencies and forensics. Latents are partial fingerprints with small area and containing large distortion. The noise characteristic and small number of minutiae makes the latents extremely difficult to automatically match the fingerprints that are stored in law enforcement databases. The proposed approach provides an efficient algorithm for identification of individual latent fingerprints. Three texture based features are used to improve the matching accuracy. These features include 1. Entropy coefficient 2. Correlation coefficient 3. Energy coefficient. The proposed approach provides better results as they are used to match features of fingerprint images.

Type : Research paper

Published : Volume-2,Issue-10


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