A fingerprint matching algorithm using bit-plane extraction method with phase-only correlation

• Main Authors: Florence, Francis-Lothai, Bong, David B L
• Format: E-Article
• Language: English
• Published: Inderscience Enterprises Ltd. 2017
• Subjects: QA Mathematics
• Online Access: http://ir.unimas.my/id/eprint/17211/1/A%20fingerprint%20matching%20algorithm%20using%20bit-plane%20%28abstract%29.pdf; http://ir.unimas.my/id/eprint/17211/; https://www.researchgate.net/publication/317111559
• Institution: Universiti Malaysia Sarawak

This paper introduces a new method in fingerprint feature extraction based on bit-plane. A bit-plane image requires smaller storage space than a greyscale image. Region of interest (ROI) of a fingerprint image is extracted by using a modified blob analysis method, and then the core point of the ROI is detected for dimension reduction process. Before bit-plane is extracted, the fingerprint image is enhanced by using Fourier transform. Bit-plane 7 of the enhanced image is used as the input for fingerprint matching with phase-only correlation (POC) function. Experiment results showed that the storage space requirement for a fingerprint database could be reduced up to 87% per image for a bit-plane image compared with a greyscale image. The proposed fingerprint matching algorithm achieves 81.16% of recognition rate on FVC2002-Db1a database and 89.78% on FingerDOS database. Copyright © 2017 Inderscience Enterprises Ltd.