NDLI: Access Control System using fingerprint recognition

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Access Control System using fingerprint recognition

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Access Control System using fingerprint recognition

Content Provider	ACM Digital Library
Author	Shah, Darshana Mahadik, Swapnali Narayanan, K. Bhoir, D. V.
Abstract	An accurate Access Control System is critical in a wide range of application domain such as national ID card, electronic commerce, and automated banking. A Biometrics based Access Control System based on her physiological or behavioral characteristics is inherently more reliable and more capable in differentiating between an authorized person and a fraudulent imposter than traditional methods. The objective is to design a fingerprint-based biometric system which is capable of achieving a fully automatic "positive personal identification" with a high level of confidence. This paper is implementation of Minutia based approach to fingerprint recognition. The identified and explored the following issues: (i) feature extraction (ii) image enhancement, (iii) Minutiae matching. An alignment-based minutiae-matching algorithm has been proposed. This algorithm is capable of finding the correspondences between input minutiae and the stored template without resorting to exhaustive search and has the ability to compensate adaptively for the nonlinear deformations and in exact transformations between an input and a template. Good result (~92% accuracy) were obtained using FVC2002 fingerprint database.
Starting Page	306
Ending Page	311
Page Count	6
File Format	PDF
ISBN	9781605583518
DOI	10.1145/1523103.1523166
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2009-01-23
Publisher Place	New York
Access Restriction	Subscribed
Subject Keyword	Biometrics Minutiae Crossing number Fingerprint verification Orientation field
Content Type	Text
Resource Type	Article

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