Personal identificat ion is one of the most important requirements in all e -co mmerce and criminal detection applications. In this framework, a novel palm print representation method, namely o rthogonal line ordinal features, is proposed. The palm print registration, feature extract ion, palm print verification and palm print recognition modules are designed to manage the palm prints and the palm print database module is designed to store their palm prints and the person details in the

more »

... . The feature ext raction module is proposed to extract the ordinal measurements for the palm prints. The verification module is designed to verify the palm print with the personal identification record. The recognition module is proposed to find out the relevant person associated with the palm print image. The proposed palm print recognition scheme uses the intensity and brightness to measure the ordinal measurement. The ordinal measures are estimated for the 4 x 4 regions of the palm print images. The remain ing sections are organized as follows: Brief outline of palm print recognition is presented in section 2. System methodology is presented in section 3. The system imp lementation like database, feature extraction, verification and recognition of palm print images are briefly exp lained in section 4. The testing of