Fingerprint feature extraction based discrete cosine transformation (DCT)

Chin Kim On and Paulraj M. Pandiyan and Sazali Yaacob and Azali Saudi (2009) Fingerprint feature extraction based discrete cosine transformation (DCT).

	Text Fingerprint feature extraction based discrete cosine transformation (DCT)-ABSTRACT.pdf Download (56kB)
	Text Fingerprint feature extraction based discrete cosine transformation (DCT).pdf Restricted to Registered users only Download (780kB) \| Request a copy

Official URL: https://ieeexplore.ieee.org/document/5276485

Abstract

Fingerprint identification and verification are one of the most significant and reliable identification methods. It is impossible that two people have the same fingerprint. Automatics identification of humans based on fingerprint requires the input fingerprint to be match with a large number of fingerprints in the database. Generally, the fingerprint recognition systems are unable to solve the problem of rotated scanned input images. The classification systems are failed to classify the rotated scanned fingerprint image with the fingerprint image that store in the database, which both of the fingerprint images are actually belonging to the same person. In this paper, a simple and effectiveness algorithm is proposed for fingerprint image recognition and the proposed algorithm is able to solve the problem discussed above. The proposed algorithm involved two stages, which is pre-processing of fingerprint image and feature extraction based nCT. The extracted nCT data is used as input for the backpropagation neural network training for personal identification.

Item Type:	Proceedings
Keyword:	Fingerprint recognition , Feature extraction , Discrete cosine transforms , Image matching , Backpropagation algorithms , Image databases , Humans , Image recognition , Data mining , Neural networks
Subjects:	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 12:27
Last Modified:	17 Nov 2021 12:27
URI:	https://eprints.ums.edu.my/id/eprint/31133

Actions (login required)

View Item