By recognizing the identification area of fingerprint and palm print image data for identity authentication, this biometric identification algorithm can reduce the complexity of image conversion. Strengthen the stability of the system and improve the anti-noise ability of the palm print and fingerprint image feature expression models. Improve execution speed and identify system performance indicators.The present invention uses the finger and palm features as the basis of the identification system. In the finger feature part, each finger acquires 3 feature areas, so there are 9 feature areas in the three fingers; the palm feature part uses the main line close to the palm as the midpoint, Take 5 feature areas from each palm, and add up to 14 feature areas. Finally, the correlation coefficient method is used to compare the similarity between the feature area of the identified image and the feature area of the database image. If the feature area of the identified image has more than 12 feature areas, the comparison score is higher than the set comparison score. It is judged as the correct user; otherwise, it is judged that there is no such user."Contactless scanning", as the name suggests, customers no longer need to take out credit cards or smart phones when checking out, just need to reach out the palm of the hand and put it under the infrared of the scanner to check out.