Study of Local Binary Pattern for Partial Fingerprint Identification
Journal Title: International Journal of Modern Engineering Research (IJMER) - Year 2014, Vol 4, Issue 9
Abstract
Fingerprints are usually used in recognition of a person's identity because of its uniqueness, stability. Today also the matching of incomplete or partial fingerprints remains challenge. The current technology is somewhat mature for matching ten prints, but matching of partial fingerprints still needs a lot of improvement. Automatic fingerprint identification techniques have been successfully adapted to both civilian and forensic applications. But this Fingerprint identification system suffers from the problem of andling incomplete prints and discards any partial fingerprints obtained. Level 2 features are very efficient if the quality of achievement decreases the number of level 2 features will not be enough for establishing high accuracy in identification. In such cases pores (level 3 features) can be used for partial fingerprint matching with the help of suitable technique local binary pattern features. Local binary pattern feature is used to match the pore against with full fingerprints. The first step involves extracting the pores from the partial image. These pores act as anchor points and sub window (32*32) is formed surrounding the pores. Then rotation invariant LBP histograms are obtained from the surrounding window. Finally chi-square formula is used to calculate the minimum distance between two histograms to find best matching score
Authors and Affiliations
Miss Harsha V. Talele , Pratvina V. Talele , Saranga N Bhutada
Keywords
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