Human face recognizing method based on multi-level local obvious mode characteristic counting

Abstract

The invention discloses a human face recognizing method based on multi-level local obvious mode characteristic counting. The method comprises the steps of preprocessing human face image; computing the local differential mode characteristic vectors of different orders in local adjacent domain where each pixel of the normalized human face image is positioned; coding each order of local differential mode characteristic vector of each pixel of the human face image into corresponding local obvious mode characteristic; performing block-dividing on the local obvious mode characteristic image of each order of the human face image and performing space histogram counting; splicing all local obvious mode characteristic histograms of each order of the human face image and enhancing by utilizing the whitened main component analysis; computing corresponding weight according to each order of the enhanced local obvious mode histogram characteristics; and measuring the characteristic similarity of two human face images according to the weighed cosine distance. The human face recognizing method based on the multi-level local obvious mode characteristic counting is used in the human face recognizing system on low-power consumption mobile equipment, and is lower in both time computing complexity and space computing complexity.

Description

technical field [0001] The invention relates to the technical fields of computer vision, digital image processing and pattern recognition, in particular to a face recognition method based on statistics of multi-order local salient pattern features. Background technique [0002] With the continuous improvement of the national economic level, the per capita purchasing power is getting stronger and stronger, and there are more and more occasions where identity authentication is required for payment. Biometric identification technology based on human physiological characteristics will play an increasingly important role in many important fields related to national economic development and public safety. [0003] Among them, face recognition can be said to be one of the biometric identification modes with the greatest potential and the most possible wide application. Because the popularity of its acquisition equipment has developed unprecedentedly, almost every mobile terminal a...

AI Technical Summary

Problems solved by technology

Especially when face recognition is to be applied on some mobile devices with weak computing power and high power consumption requirements, some face feature extraction methods with high computational complexity are not applicable

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