• N. Subathra
• Dr.K.Merriliance

Finger palm vein recognition is one of the methods used for identification because of its individuality, firmness, live body identification, elasticity and difficulty to cheat. This paper focuses on the technique for palm vein recognition. It comprises of three modules, Preprocessing, Histogram of Image Gradient, Palm Vein matching. Preprocessing is done with the help of OTSU and CLAHE techniques. Palm vein features are extracted using HOG. In palm vein matching, Chi-square distance value is used. The CASIA Palm Print Database is used for palm vein recognition. The performance of the proposed method is measured by the evaluation metrics such as accuracy, specificity, sensitivity, error rate, recall and precision.

Biometrics, Palm Vein, HOG, ROI,CASIA Database

"PALM VEIN RECOGNITION SCHEME BASED ON HOG", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 2, page no.494-502, February-2019, Available :http://www.jetir.org/papers/JETIRAB06086.pdf

"PALM VEIN RECOGNITION SCHEME BASED ON HOG", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 2, page no. pp494-502, February-2019, Available at : http://www.jetir.org/papers/JETIRAB06086.pdf