Name
Title | ||
|---|---|---|
Finger texture biometric verification exploiting Multi-scale Sobel Angles Local Binary Pattern features and score-based fusion. |
Abstract | ||
|---|---|---|
In this paper a new feature extraction method called Multi-scale Sobel Angles Local Binary Pattern (MSALBP) is proposed for application in personal verification using biometric Finger Texture (FT) patterns. This method combines Sobel direction angles with the Multi-Scale Local Binary Pattern (MSLBP). The resulting characteristics are formed into non-overlapping blocks and statistical calculations are implemented to form a texture vector as an input to an Artificial Neural Network (ANN). A Probabilistic Neural Network (PNN) is applied as a multi-classifier to perform the verification. In addition, an innovative method for FT fusion based on individual finger contributions is suggested. This method is considered as a multi-object verification, where a finger fusion method named the Finger Contribution Fusion Neural Network (FCFNN) is employed for the five fingers. Two databases have been employed in this paper: PolyU3D2D and Spectral 460 nm (S460) from CASIA Multi-Spectral (CASIA-MS) images. The MSALBP feature extraction method has been examined and compared with different Local Binary Pattern (LBP) types; in classification it yields the lowest Equal Error Rate (EER) of 0.68% and 2% for PolyU3D2D and CASIA-MS (S460) databases, respectively. Moreover, the experimental results revealed that our proposed finger fusion method achieved superior performance for the PolyU3D2D database with an EER of 0.23% and consistent performance for the CASIA-MS (S460) database with an EER of 2%. |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1016/j.dsp.2017.08.002 | Digital Signal Processing |
Keywords | Field | DocType |
Finger texture,Finger fusion,Local binary pattern,Biometric verification,Probabilistic neural network | Pattern recognition,Word error rate,Local binary patterns,Fusion,Sobel operator,Feature extraction,Probabilistic neural network,Artificial intelligence,Biometrics,Artificial neural network,Mathematics | Journal |
Volume | ISSN | Citations |
70 | 1051-2004 | 6 |
PageRank | References | Authors |
0.42 | 28 | 6 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Raid Rafi Omar Al-Nima | 1 | 17 | 2.05 |
| Mohammed A. M. Abdullah | 2 | 36 | 4.31 |
| Musab T. S. Al-Kaltakchi | 3 | 9 | 2.80 |
| S. S. Dlay | 4 | 198 | 23.94 |
| W. L. Woo | 5 | 325 | 49.88 |
| Jonathon A. Chambers | 6 | 56 | 6.96 |