Palm Vein Recognition Based on Local Binary Pattern and Uniform Local Binary Pattern
Vandana S. Bujare,  Dr. Jayamala K. Patil
Palm vein recognition biometric system is highly accurate and more secure than other person verification systems like key, password and id card etc. because the internal nature of veins pattern. In this proposed work Local Binary Pattern (LBP) and Uniform Local Binary Pattern (LBPU) texture feature methods has been analyzed for palm vein recognition. Probabilistic Neural Network (PNN) classifier has been used for matching process. The CASIA Multi-Spectral Palmprint Image Database V1.0 has been used. The Accuracy and recognition time required for LBP and LBPU are used to analyze the performance of proposed system. It is found that LBP provides 100% recognition accuracy but takes more recognition time compared to LBPU. LBPU provides 90% accuracy in recognition.
Keywords- Palm vein, Local Binary Pattern (LBP), Uniform Local Binary Pattern (LPBU), Probability Neural Network (PNN).
Cite this Article
Vandana S. Bujare,  Dr. Jayamala K. Patil,   "Palm Vein Recognition Based on Local Binary Pattern and Uniform Local Binary Pattern"
, International Journal of Engineering Development and Research (IJEDR), ISSN:2321-9939, Volume.7, Issue 3, pp.62-69, July 2019, Available at :http://www.ijedr.org/papers/IJEDR1903012.pdf