Abstract: The present invention discloses a finger vein recognition system comprising an image catching module, an image preprocess module, a feature points calculating module, a feature database, a first comparing module and a second comparing module. The feature points calculating module is connected to the image preprocess module for calculating a set of distances among a plurality of feature points. The first comparing module is connected to the feature points calculating module and the feature database for comparing the set of distances and generating a compared result of feature points. The second comparing module is connected to the image preprocess module, the feature database and the first comparing module for catching a set of vein shape and comparing the set of vein shape with the feature database for generating a compared result of shape similarity.

Abstract: The present invention discloses an identity recognition method for recognizing the biometric features of a predetermined palm by biometric features stored in a database. The method of the invention includes the following steps of: (S1) forming an initial image; (S2) determining if the initial image matches the image of the palm, if yes, process step (S3); (S3) applying a convolution process to the initial image; (S4) capturing a plurality of biometric features by Scale Invariant Feature Transformation (SIFT); and (S6) comparing the plurality of the biometric features of the initial image to the biometric features stored in the database.