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EXTRACTING THE CORE POINT USING LOCAL RIDGE ORIENTATION METHOD IN FINGERPRINT IMAGES
Author Name

G. Karthik Prabhu, V. Senthil Kumar, S. Ganesan and G. Shobanprabhu

Abstract

This paper describes the design and implementation of extracting the core point. This algorithm is concentrated on extracting the core point, since rich minutiae exist close around the core point which is normally used for fingerprint matching and also fingerprint classification is done by using the core point. This feature of extracting core point is essential for fast and robust performance of fingerprint verification / identification. In our algorithm the core point is extracted using the local ridge orientation, which is compared with the Poincare Index method. The system has been tested on a variety of fingerprint images even of very poor quality and the results showed remarkable performance. Experimental results showed that our algorithm is best suited for the verification with high accuracy. The complete fingerprint extraction algorithm takes on an average of about 2 seconds, which is remarkably good. Key Words: fingerprint extraction algorithm, local ridge orientation, Poincare Index method

Published On :
2022-01-19

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