关键词: Gabor滤波, 局部方向模式（LDP）, 自适应阈值, 特征融合, 掌纹, 可撤销模板

Abstract: In order to improve recognition performance and solve security issue of palm identity verification system, this paper proposes adaptive threshold cancelable palmprint templates based on Local Gabor Directional Pattern with adaptive threshold coding method by mean （mLGDP）, Difference Local Gabor Directional Pattern with adaptive threshold coding method by mean （mDLGDP） and feature fusion of them. After block processing the coding image, feature and binary vector are extracted. Then Bloom filter is used for many to one mapping and palmprint image position scrambling. Finally, cancelable template is generated by using a user key matrix convoluted with final image, which achieves irreversibly transformation. Both theoretical analysis and experimental results show that, even when the key is lost, using two kinds of improved methods respectively can still maintain a high recognition rate, when two kinds of feature are integrated, the recognition rate can effectively improve and achieve better security.

Key words: Gabor, Local Directional Pattern（LDP）, adaptive threshold, feature integration, palmprint, cancelable template