User Identification by Hierarchical Fingerprint and Palmprint Matching

Abstract

Biometric Identification system has high efficiency, high recognition rate and comfortable to user’s operating characteristics. Fingerprint and Palmprint are the most common authentic biometrics for personal identification, especially for forensic security. Fingerprint and Palmprint authentication system is considered to be the most reliable biometric recognition due to its merits such as low-cost, user-friendliness, high speed and accuracy. In this paper, a novel hierarchical minutiae matching algorithm for fingerprint and palmprint identification system is proposed. This method decomposes the matching stop into several stages and rejects many false fingerprints on different stages, thus it can save time while preserving a high identification rate. Real time images are captured using a scanner. Each of these gray-scale images are aligned and then used to extract fingerprint and palmprint features. A hierarchical matching system that is used to reduce the computation cost by segmenting the image and matching it with the database, thereby false fingerprints are rejected in the subsequent changes by comparing just a portion of the whole fingerprint and palmprint. The hierarchical strategy can reject many fingerprint ( in the database of the AFIS ) which do not belong to the same finger as the input fingerprint quickly, thus it can save much time.

Authors and Affiliations

Annapoorani D, Caroline Viola Stella Mary M

Keywords

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  • EP ID EP19045
  • DOI -
  • Views 278
  • Downloads 11

How To Cite

Annapoorani D, Caroline Viola Stella Mary M (2014). User Identification by Hierarchical Fingerprint and Palmprint Matching. International Journal for Research in Applied Science and Engineering Technology (IJRASET), 2(11), -. https://europub.co.uk/articles/-A-19045