Citation

Chua, Shing Chyi and Wong, Eng Kiong and Tan, Alan Wee Chiat (2014) Singular Point Detection in Fingerprint Images: An investigation on quantization approach. In: 2014 IEEE Region 10 Symposium, 14-16 April 2014.

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Abstract

This paper presents a quantization approach to the detection of singular points in fingerprint images. Singular points in fingerprint images referred to the core and delta points. They are the global features found in the orientation field image of a fingerprint. A singular point is normally detected at the intersection of three gray levels of a quantized orientation field image at quantization level-3 but no study has been carried out for higher quantization level. In this paper, the singular point detection has been investigated up to quantization level-8 by employing two performance measures: sensitivity and precision. The performance at level-5 has been found to be optimal when both measures are combined.

Item Type:	Conference or Workshop Item (Paper)
Uncontrolled Keywords:	fingerprint, singular points, quantizatio
Subjects:	T Technology > T Technology (General)
Divisions:	Faculty of Engineering and Technology (FET)
Depositing User:	Ms Rosnani Abd Wahab
Date Deposited:	10 Nov 2016 03:44
Last Modified:	04 Jan 2017 10:47
URII:	http://shdl.mmu.edu.my/id/eprint/6079

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