The invention discloses an examiner identification system based on bionic and biometric identification, using synthetically various biometric identification methods based on high-dimension space geometric shape adaptive coverage theory to achieve identification of examiner identity. First of all, through an acquisition equipment, gripping-pen fingerprint is obtained, on-line signature and facial image, and then the data is mapped into high-dimension space observation point after feature extraction, last according to similar sample point continuity in the high-dimension space, through the relation between the observation point and sample set coverage area to obtain different biological characteristic network match degree, then through match degree fusion decision algorithm to identify identity of the examiner, and through automatic addition of new verification data to achieve sample set dynamic updating and trend forecast. Identification of the invention is fast, result is accurate, and the invention is not only suitable for examiner identification in existing examination mode, but also has broader application in the future machine- examination mode.