Novel Optimization of Identified Palm Geometry Using Image Segmentation

Segmentation is one of the essential steps towards identification any object in domain image processing. In area hand-based biometric which mainly deployed for a user authentication system, segmentation plays critical role. A review existing studies shows that there very less amount potential contribution this regard. Therefore, manuscript presents novel optimization scheme palm geometry recognition system where process prime highlights classification hand and background considering case study finger recognition. Further, proposed uses masking operation Region-of-Interest section subjected to segmentation. Further machine learning approach (convolution neural network Siamese Neural Network) further assist optimizing performance. The experimental outcome offers better accuracy compared system.