Palm Print Recognition Review Paper

  ijett-book-cover  International Journal of Engineering Trends and Technology (IJETT)          
  
© 2013 by IJETT Journal
Volume-4 Issue-2                       
Year of Publication : 2013
Authors : G. S. Lipane , S. B. Gundre

Citation 

G. S. Lipane , S. B. Gundre. "Palm Print Recognition Review Paper". International Journal of Engineering Trends and Technology (IJETT). V4(2):183-185 Feb 2013. ISSN:2231-5381. www.ijettjournal.org. published by seventh sense research group

Abstract

This paper provides an overview of some current palmprint research. Palmprint recognition has been investigated over the past decade . Palmprint recognition has five stages palmprint acquisition, preprocessing, feature extraction, enro - llment (database) and matching. Due to rich information in palmprint it became a powerful means in person identification. The major approach for palmprint recognition is to extract feature vectors corresponding to individual palm image and to perform matching based on some distance metrics . Palmprint recognition is a challenging problem mainly due to low quality of pattern, large nonlinear distortion between different impression of same palm and large image size, which makes feature extraction and matching computationally demanding.

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Keywords
palmprint acquisition, recognition, matching, distanc e metrics, feature extraction.