Palm Vein Authentication Using Image Classification Technique
Author(s):
Mr. Saagar Mukhopadhyay , University of Calcutta; Prof. Samir Kumar Bandyopadhyay, University of CalcuttaKeywords:
Palm Vein, Feature Extraction and IdentificationAbstract:
This paper presents an optimized palm vein authentication algorithm which will match the similar type of vascular pattern from the database given i.e. CASIA-Palmprint V1 dataset. . The palm vein authentication technology offers a high level of accuracy. Palm vein authentication uses the vascular patterns of an individual’s palm as personal identification data. If we compare with a finger or the back of a hand, a palm has a broader and more complicated vascular pattern and thus contains a wealth of differentiating features for personal identification. The importance of biometrics in the current field of Security has been depicted in this work. Also, we have also outlined opinions about the utility of Biometric authentication systems. We have processed the raw image from the dataset before implementing authentication algorithm. After getting the suitable image after pre- processing, we have used local binary pattern (LBP) for feature extraction purpose & then using a machine learning algorithm, with support vector machine (SVM), we tried to match the vascular vein pattern for authentication. Result of the matching algorithm is not only optimized as per the proposed approach but also quite efficient.
Other Details:
| Manuscript Id | : | J4RV3I4013 |
| Published in | : | Volume : 3, Issue : 4 |
| Publication Date | : | 01/07/2017 |
| Page(s) | : | 14-23 |
