Human Identification Based on Sclera Vein Recognition Using Histogram of Oriented Gradient

Sclera vein recognition is an evolving technology for the pattern recognition system that recognize a person for authentication .sclera vein recognition presents a challenging problem in the field of image analysis and computer vision, and as such has received a great deal of attention over the last few years because of its many applications in various domains. This paper has several contributions. First, we proposed the new approach for human ID: sclera recognition. Second, we developed a new method for sclera segmentation which works for both color and grayscale images. Third, we designed a Gabor filter for sclera pattern enhancement method to emphasize and binarize the sclera vessel patterns. Finally, we proposed a histogram oriented gradient feature extraction, registration, and matching method. To implement the proposed system by using the support vector machine(SVM) in neural network. KeywordsSclera vein recognition, sclera feature matching, sclera matching, parallel computing multilayered vessel pattern recognition and sclera recognition.