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Proceedings Paper

Fingerprint separation: an application of ICA
Author(s): Meenakshi Singh; Deepak Kumar Singh; Prem K. Kalra
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Paper Abstract

Among all existing biometric techniques, fingerprint-based identification is the oldest method, which has been successfully used in numerous applications. Fingerprint-based identification is the most recognized tool in biometrics because of its reliability and accuracy. Fingerprint identification is done by matching questioned and known friction skin ridge impressions from fingers, palms, and toes to determine if the impressions are from the same finger (or palm, toe, etc.). There are many fingerprint matching algorithms which automate and facilitate the job of fingerprint matching, but for any of these algorithms matching can be difficult if the fingerprints are overlapped or mixed. In this paper, we have proposed a new algorithm for separating overlapped or mixed fingerprints so that the performance of the matching algorithms will improve when they are fed with these inputs. Independent Component Analysis (ICA) has been used as a tool to separate the overlapped or mixed fingerprints.

Paper Details

Date Published: 18 April 2008
PDF: 11 pages
Proc. SPIE 6982, Mobile Multimedia/Image Processing, Security, and Applications 2008, 69820L (18 April 2008); doi: 10.1117/12.777541
Show Author Affiliations
Meenakshi Singh, Indian Institute of Technology Kanpur (India)
Deepak Kumar Singh, Indian Institute of Technology Kanpur (India)
Prem K. Kalra, Indian Institute of Technology Kanpur (India)


Published in SPIE Proceedings Vol. 6982:
Mobile Multimedia/Image Processing, Security, and Applications 2008
Sos S. Agaian; Sabah A. Jassim, Editor(s)

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