Simple Fingerprint Minutiae Extraction Algorithm Using Crossing Number On Valley Structure

Author

Sudiro, Sunny Arief ; Paindavoine, Michel ; Kusuma, Tb Maulana

Author_Institution

Univ. of Burgundy, Dijon

fYear

2007

fDate

7-8 June 2007

Firstpage

41

Lastpage

44

Abstract

Most of the existing fingerprint extraction techniques currently available are based on ridge structure. The ridge usually has thicker structure than the valley, so that more processing time is needed to extract the ridge than extracting the valley. Taking the advantage of the thin structure of the valley, we proposed an algorithm that reduces the time needed for minutiae extraction. The algorithm was developed in Matlab environment using fingerprint images from FVC2004. In order to show the performance of the algorithm, numerical results are presented.

Keywords

feature extraction; fingerprint identification; Matlab environment; crossing number; fingerprint images; fingerprint minutiae extraction algorithm; valley structure; Application software; Biometrics; Character recognition; Face recognition; Feature extraction; Fingerprint recognition; Image matching; Intersymbol interference; Multimedia systems; Pixel; fingerprint; minutiae; ridge structure; thinning; valley structure;

fLanguage

English

Publisher

ieee

Conference_Titel

Automatic Identification Advanced Technologies, 2007 IEEE Workshop on

Conference_Location

Alghero

Print_ISBN

1-4244-1300-1

Electronic_ISBN

1-4244-1300-1

Type

conf

DOI

10.1109/AUTOID.2007.380590

Filename

4263211