Dorsal hand vein pattern feature extraction with wavelet transforms

Author

Redhouane, Lefki ; Sarah, Benziane ; Abdelkader, Berrayah

Author_Institution

Dept. of Comput. Sci., Univ. of USTO, Oran, Algeria

fYear

2014

fDate

17-19 June 2014

Firstpage

1

Lastpage

5

Abstract

Actually, hand vein biometrics is a recent technology that offers system for identification /authentication, it ranks among the best biometric modality by the results developed. Just like any recognition system this has four steps: the acquisition, enhancement, feature extraction and classification. This paper present the enhancement´s step of the SAB11 Data Base followed by new adaptive feature extraction method for the dorsal hand vein biometrics; which is the discrete wavelet transform.

Keywords

discrete wavelet transforms; feature extraction; image classification; image enhancement; vein recognition; SAB11 data base; adaptive feature extraction method; biometric modality; discrete wavelet transform; dorsal hand vein biometrics; dorsal hand vein pattern feature extraction; image acquisition; image classification; image enhancement; image recognition system; Biometrics (access control); Educational institutions; Feature extraction; Histograms; Veins; Wavelet transforms; dorsal hand vein patterns; feature extraction; wavelet transform;

fLanguage

English

Publisher

ieee

Conference_Titel

Networks, Computers and Communications, The 2014 International Symposium on

Conference_Location

Hammamet

Type

conf

DOI

10.1109/SNCC.2014.6866521

Filename

6866521