Certain improvement in preprocessing fingerprint image using artificial neural network

Paulraj M. Pandiyan and Mohd. Yunus Hamid and Azali Saudi and Chin Kim On (2005) Certain improvement in preprocessing fingerprint image using artificial neural network.

	Text Certain improvement in preprocessing fingerprint image using artificial neural network-ABSTRACT.pdf Download (57kB)
	Text Certain improvement in preprocessing fingerprint image using artificial neural network.pdf Restricted to Registered users only Download (390kB) \| Request a copy

Official URL: https://www.researchgate.net/publication/351267849...

Abstract

Biometrics is the science of measuring an individual’s physical properties. Biometric systems are being used as high level security technologies that provide identification and verification of human characteristics for security proposes. Biometric is characterized based on the feature that is analyzed. Presently, fingerprint biometric is the most widely adopted biometric technologies in the industry. A number of methods are already available in the literature to identify the fingerprints. The general steps in preprocessing the fingerprint image recognition system consists of image capturing, enhancement, binarization, filtering, and image thinning process. In order to obtain the minutiae features from the image, the image must be thinned properly. The recognition rate of fingerprints minutiae depend on the method of thinning the images. In this paper, a simple algorithm is proposed to thin the fingerprint image and the results are compared with the existing methods. Simple neural network models are also developed to thin the fingerprint images.

Item Type:	Proceedings
Keyword:	Thinning algorithm , Backpropagation , Neural network
Subjects:	T Technology > TA Engineering (General). Civil engineering (General) > TA1-2040 Engineering (General). Civil engineering (General) > TA1501-1820 Applied optics. Photonics T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK1-9971 Electrical engineering. Electronics. Nuclear engineering > TK7800-8360 Electronics
Department:	FACULTY > Faculty of Computing and Informatics
Depositing User:	DG MASNIAH AHMAD -
Date Deposited:	17 Nov 2021 14:35
Last Modified:	17 Nov 2021 14:35
URI:	https://eprints.ums.edu.my/id/eprint/31135

Actions (login required)

View Item