Citation

Munalih, Ahmad Syarif and Ong, Thian Song and Tee, Connie (2014) Fingerprint recognition based on multi-resolution histogram of gradient descriptors. In: The 8th International Conference on Robotic, Vision, Signal Processing & Power Applications. Lecture Notes in Electrical Engineering, II (291). Springer Singapore, pp. 189-196. ISBN 978-981458541-5

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Abstract

This paper proposes a method to extract the fingerprint feature by using multi-resolution Histogram of Oriented Gradient representation. In this work, fingerprint is first enhanced for better ridge appearance. Next, Histogram of Oriented Gradient (HOG) is applied to model ridge valley structure as the occurrence of gradient information into a histogram bin size to obtain the fingerprint descriptor. Specifically, Multi-resolution fingerprint representation with HOG descriptor is used to isolate and analyse the fingerprint ridge structures in different resolution for better recognition performance. Experimental analysis shows that the proposed method is feasible in both performance accuracy and computational time as compared to conventional methods.

Item Type:	Book Section
Subjects:	T Technology > T Technology (General)
Divisions:	Faculty of Information Science and Technology (FIST)
Depositing User:	Ms Suzilawati Abu Samah
Date Deposited:	04 Jul 2014 04:33
Last Modified:	04 Jul 2014 04:33
URII:	http://shdl.mmu.edu.my/id/eprint/5551

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