Study Of Palmprint Recognition Based On Dempster-Shafer Theory Of Evidence

Biometric identification attempts to recognize a person by his/her body or behavioral characteristics. Because of the person's palmprint has uniqueness and stability, and has more abundant information than the fingerprint. Moreover, the image can be easily obtained. Therefore, Palmprint recognition is regarded as an efficient way for personal identification.The palmprint recognition is studied in detail. Some problem about preprocessings, feature extraction, feature fusion and matching is discussed. The extraction of line feature is obtained based on mathematic morphology. Texture feature extraction based on Gabor filters is also carried out. Using line and texture features, two classifiers is designed. Then, basic probability assignment functions of the two classifiers are proposed by Fuzzy regulation. At last, the result of two classifiers carries through fusion decision by D-S theory of evidence. The result of the experiment has already shown that this kind of method is valid, reasonable.