Citation

Teoh, Andrew Beng Jin and Ong, Teng Sian and Sek, Y. W. and Ngo, David Chek Ling (2003) Automatic fingerprint center point determination by using modified directional field and morphology. In: Australasian Joint Conference on Artificial Intelligence.

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Abstract

Accurate and reliable center point determination of the fingerprint is an essential pre-processing step for the image based fingerprint recognition approach. This step is particularly important since a reference point is required to cancel the variation in position of the reference and testing fingerprint image. This paper illustrated an automatic center point determination algorithm that couples the modified averaged square directional field (MASDF) with morphological operation, in order to pinpoint the center point of the fingerprint efficiently and accurately. The experiment result shows only 3.13% rejection rate for the false center point by using the proposed method.

Item Type:	Conference or Workshop Item (Paper)
Uncontrolled Keywords:	Center Point, Rejection Rate, Morphological Operation, Fingerprint Image, Speed Factor
Subjects:	Q Science > QA Mathematics > QA71-90 Instruments and machines > QA75.5-76.95 Electronic computers. Computer science
Divisions:	Faculty of Information Science and Technology (FIST)
Depositing User:	Ms Rosnani Abd Wahab
Date Deposited:	24 Aug 2011 01:19
Last Modified:	02 Jan 2023 10:37
URII:	http://shdl.mmu.edu.my/id/eprint/2612

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