원문정보
초록
영어
Local Graph Structure (LGS) and its variation Symmetric Local Graph Structure (SLGS) have been proven to be effective for image recognition. However, they have shortcomings without considering the contribution of the difference between the target pixel and the surrounding pixels, and the difference between surrounding pixels to the feature value of the target pixel. To overcome the shortcomings of the traditional methods, this paper proposes a Difference Symmetric Local Graph Structure (DSLGS) algorithm for finger vein recognition. The DSLGS operator considers the contribution of different value to the feature of target pixel, making the extracted feature more stable. The experiment results show that the proposed algorithm has better performances t
목차
1. Introduction
2. Related Theory
2.1. LGS
2.2. SLGS
3. Proposed Method
3.1. Preprocessing
3.2. DSLGS to Extract the Feature of Finger Vein Image
3.3. LDA to Reduce the Feature Dimension
3.4. Nearest Neighbor Classification to Classification
4. Experiments and Analysis
4.1. Experimental Database
4.2. Recognition Performance of Different Algorithms
5. Conclusion
Acknowledgements
References