Name
Abstract | ||
|---|---|---|
This paper presents a biometric recognition system with fusion of hand geometry and palmprint of a human hand based on wavelet transform and statistical moments. The feature extraction module adopts the gradient direction (i.e., angle) and quadratic spline function of wavelet transform as the discriminating texture features in palmprint, and the statistical moments calculated from hand geometry. The system generates the palmprint feature codes using a binary gray encoding. The recognition rates up to 94.17%, 95.50%, 96.67%, and 98.33%, respectively, using different feature extraction methods may be achieved. |
Year | DOI | Venue |
|---|---|---|
2007 | 10.1109/IIHMSP.2007.4457734 | IIH-MSP |
Keywords | Field | DocType |
binary gray encoding,hand geometry,palmprint feature code,different feature extraction method,biometric recognition system,fusing hand geometry,biometric verification,recognition rate,human hand,texture feature,feature extraction module,statistical moment,binary codes,image texture,feature extraction,image fusion,spline function,gray codes,computational geometry,statistical analysis,wavelet transforms,wavelet transform | Hand geometry,Computer vision,Image fusion,Pattern recognition,Computer science,Image texture,Computational geometry,Gray code,Feature extraction,Artificial intelligence,Biometrics,Wavelet transform | Conference |
ISBN | Citations | PageRank |
0-7695-2994-1 | 2 | 0.41 |
References | Authors | |
10 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Wen-Shiung Chen | 1 | 93 | 12.36 |
| Yao-Shan Chiang | 2 | 2 | 0.41 |
| Yen-Hsun Chiu | 3 | 2 | 0.41 |