International Journal of Computer Applications |
Foundation of Computer Science (FCS), NY, USA |
Volume 172 - Number 5 |
Year of Publication: 2017 |
Authors: Abbas H. Hassin Alasadi, Zainab N. Nemer |
10.5120/ijca2017915144 |
Abbas H. Hassin Alasadi, Zainab N. Nemer . Finger Vein Verification System based on Three Methodologies of Feature Extraction. International Journal of Computer Applications. 172, 5 ( Aug 2017), 7-11. DOI=10.5120/ijca2017915144
As a new manner of biometrics measurement, human finger vein pattern has been developed. Many researchers have paid close attention to this topic. In this paper, three methodologies of features extraction are used for finger vein verification system. These methods are; Grey Level Co-occurrence Matrix (GLCM), Tamura, and Scale Invariant Feature Transform (SIFT). Empirically, the results of the proposed algorithm was acceptable and better.