Adaptive image normalisation based on block processing for enhancement of fingerprint image

Author

Kim, Byung-Gyu ; Park, Dong-Jo

Author_Institution

Dept. of Electr. Eng. & Comput. Sci., Korea Adv. Inst. of Sci. & Technol., Taejon, South Korea

Volume

Issue

fYear

2002

fDate

7/4/2002 12:00:00 AM

Firstpage

696

Lastpage

698

Abstract

Improved algorithms for enhancement of fingerprint images, which have the adaptive normalisation based on block processing, in the automatic fingerprint verification system, are proposed. To obtain an enhanced fingerprint image, first an input image is partitioned into sub-blocks with the size of K×L and the region of interest of the fingerprint image is acquired. The parameters for the image normalisation are then adaptively determined according to the statistics of each block. Utilising these parameters, the block image is normalised for the next process. The proposed algorithms are tested with the NIST fingerprint images and verified to have superb performance

Keywords

adaptive signal processing; fingerprint identification; image enhancement; adaptive image normalisation; automatic fingerprint verification; block image; block processing; enhancement; fingerprint image; input image; region of interest; sub-blocks;

fLanguage

English

Journal_Title

Electronics Letters

Publisher

iet

ISSN

0013-5194

Type

jour

DOI

10.1049/el:20020507

Filename

1019817

Link To Document

https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=788112