Title: Fingerprint core point detection using connected component approach and orientation map edge tracing approach

Authors: Jincy J. Fernandez; P. Nithyanandam

Addresses: School of Computer Science and Engineering, VIT University, Chennai, India ' School of Computer Science and Engineering, VIT University, Chennai, India

Abstract: Fingerprint recognition has always played a key role in forensic and commercial applications. The most challenging part of this recognition is to detect the accurate position of the fingerprint's core point. For this, two novel edge-based methods are proposed that improve the accuracy of the fingerprint's core point detection. The first method uses the connected component approach, which helps to clearly distinguish whether the given fingerprint image has a core point or not. Also, it detects the exact location of the core point if it is present. The second method does edge tracing on the orientation map to detect accurate core points in all types of fingerprint images. The proposed works have been compared with some of the existing methods in terms of accuracy, consistency, and execution time. With the samples taken from SDUMLA-HMT database, experimental outcomes have determined its effectiveness by providing an outstanding detection rate.

Keywords: core point; fingerprint recognition; orientation field estimation; edge detection; connected component analysis.

DOI: 10.1504/IJBM.2021.117860

International Journal of Biometrics, 2021 Vol.13 No.4, pp.409 - 431

Received: 17 May 2020
Accepted: 08 Sep 2020
Published online: 04 Oct 2021 *

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