Fingerprint classification method based on Least Square Support Vector Machine and detailed image

A new online fingerprint identification method is proposed based on detailed image feature and least-square support vector machines which has the fast calculate and better generalization capability. This algorithm uses binary tree theory to decompose the problem into three 2-class classification problem, utilizing improved indexing table thinning feature extraction algorithm, then using the support vector machine to optimize the three hyper-planes. Experimental results show that this algorithm improves the efficiency of fingerprint classification.