Method for extracting region of interest of palmprint in non-contact manner in complex environment

Abstract

The invention provides a method for extracting a region of interest of a palmprint in a non-contact manner in a complex environment, which includes the following steps: collecting a palmprint image; extracting a binary image of the palm foreground; filling the holes of the binary image and removing the small-area regions of the binary image; adjusting the palm angle in the binary image to make thetip of the middle finger on the topmost in the image; determining the search scope of maximum effective inscribed circle by detecting the fingertip position and the valley point position; carrying out range transformation on the binary image after adjustment, traversing the search scope obtained in the previous step, and limiting the proportional relationship between the center and radius of theinscribed circle and the length of the middle finger to get a maximum effective inscribed circle; and rotating the maximum effective inscribed circle to get an image of a region of interest of the palmprint. The method can be used to carry out binaryzation, contour extraction, key point location, translation, rotation correction and palmprint center region-of-interest extraction on a palmprint image collected by a high-pixel mobile phone in a complex environment.

Description

technical field [0001] The invention belongs to the technical field of information perception and recognition, and relates to a non-contact palmprint interest region extraction method in a complex environment. Background technique [0002] In recent years, the Internet has developed rapidly, and our daily life has also changed accordingly. Nowadays, people can complete most of the needs in life with just moving their fingers, which brings convenience to life and also brings many security problems, such as leakage of personal privacy and property theft. Identity authentication is the most commonly used security protection method. Traditional identity authentication methods mainly include: special items (ID card, student card, passport, etc.); specific knowledge (password, verification code, etc.); two combinations (ID card + password, bank card + verification code, etc.). These authentication methods are technically quite complete, and can be combined with information encry...

AI Technical Summary

Problems solved by technology

[0006] 1. Palmprints cannot be recognized in real time in the offline collection mode, which limits its application scope;

[0007] 2. The image quality collected by CCD equipment in the online acquisition mode is relatively high, and the effect is good, but this equipment is large in size and adopts contact acquisition method, which is inconvenient to carry and use;

[0008] 3. Traditional palmprint ROI extraction has high requirements on the collected palmprint images, such as: requiring the palm of the subject to be collected to be fixed in one position, requiring the palm background to be completely black, etc., without considering the complex environment. Palmprint collection, the user's acceptance of this fixed device is not very high

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