3D palmprint identification method

Abstract

The invention discloses a 3D palmprint identification method. In the method, only the local features of blocks of a 3D palmprint, namely, a phase and surface type block histogram, are adopted. A 3D palmprint feature model is proposed. The identification effect is improved, and moreover, the use of a 2D palmprint image is avoided so that the whole system is free from the influence of light intensity and scratch marks. The local features of the 3D palmprint adopted are robust to small translation, rotation and even zooming of images, so that there is no need to use multiple translation, nearestiteration, cross-correlation and other methods for image alignment, and the identification efficiency is improved. An intermediate term is added in a sparse representation classifier, and an improvedsparse representation classifier is proposed by improving the sparse coefficient. The sparse coefficient can be calculated before 3D palmprint classification, and a subspace method is used to compareimages in the classification process. Thus, when there are a lot of samples in the training library, there is no need to compare testing samples and training samples one by one. The data redundancy, computation and processing time are reduced.

Description

technical field [0001] The invention relates to the technical field of biological feature recognition, in particular to a three-dimensional palmprint recognition method based on block local features and improved sparse representation. Background technique [0002] With the rapid development of information technology and network technology, information security has shown unprecedented importance. Traditional identification methods, such as smart cards, keys, passwords, etc., are easily lost, forgotten, copied and stolen. The biometric identification technology for identity authentication based on physiological and behavioral characteristics has been increasingly used for its unique permanence, stability and uniqueness. Biometric identification technology is a technology that uses human biological or behavioral characteristics for identification. Commonly used biological characteristics include fingerprints, palmprints, faces, irises, etc., and behavioral characteristics inclu...

AI Technical Summary

Problems solved by technology

However, the local correlation calculation of 3D palmprint is time-consuming.

[0007] In order to improve the recognition effect of three-dimensional palmprint, the existing methods usually use two-dimensional palmprint image and three-dimensional palmprint image at the same time, but the two-dimensional image is easily affected by light intensity and scratches, which affects the recognition process; directly using three-dimensional image, the alignment process The methods used, such as the multiple translation method, the nearest iteration method, and the cross-correlation method, are inefficient, and the recognition rate is relatively poor, so many studies use the method of multi-feature fusion

In addition, when there are a large number of samples in the training library, the one-to-one alignment of the test samples and the training samples will greatly increase the amount of computation and processing time.

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