Palm detection method and palm detection system for palm image

Abstract

The invention discloses a palm detection method for a palm image of a computer system. The method comprises the steps of graying a palm image by a trigger command system; extracting the features of a gradient orientation histogram (HOG) of the above grayed palm image; and classifying the features of the HOG of a target palm image by means of a trained support vector machine (SVM) classifier. The trained SVM classifier is obtained in advance based on the classified training process of images containing valid palm patterns and images containing invalid palm patterns. Based on the above method, palm patterns in palm images can be effectively detected.

Description

technical field [0001] The present application relates to the field of image recognition in the computing field, and in particular to a palm detection method and system of a palm image. Background technique [0002] The field of palmprint recognition security has become more and more popular. For example, depositors' identity verification in banks, home access control systems, and employee attendance systems in companies can all use palmprint recognition systems. [0003] When performing palmprint recognition, it usually takes a picture of the user's palm first, and then extracts the palmprint in the picture and matches it with the palmprint stored in the system. If the match is successful, the palmprint recognition is considered successful. User identity is legitimate. Otherwise, the user's operation request is rejected. [0004] After the palmprint recognition system captures the picture of the user's palm, the system usually first needs to determine whether the captured...

AI Technical Summary

Problems solved by technology

For this kind of palmprint recognition system, in view of its hardware requirements, users cannot use ordinary cameras to take pictures of their palms at any time and perform palmprint recognition operations, which is not conducive to the promotion of palmprint recognition systems.

And when users use the palmprint recognition system, because their palms are limited within a certain range, the user experience is also poor.

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