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Face recognition method and system

A face recognition and use of face technology, applied in the field of face recognition, can solve the problems of slow calculation speed, low robustness, poor anti-noise ability and so on

Active Publication Date: 2018-03-09
HARBIN INST OF TECH SHENZHEN GRADUATE SCHOOL
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Problems solved by technology

[0009] The main purpose of the present invention is to provide a face recognition method and system to overcome the problems of slow calculation speed, poor anti-noise ability and low robustness of existing face recognition methods

Method used

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  • Face recognition method and system

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Embodiment Construction

[0087] It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention.

[0088] refer to figure 1 , the embodiment of the present invention proposes a face recognition method, comprising the following steps:

[0089] S10. Align each training image in the training sample set to the reference image using a face alignment method to generate an alignment sample;

[0090] S20. Merge the training images and aligned samples in the training sample set to obtain a training set A, and the training set A includes a plurality of sample categories;

[0091] S30. Use an edge detector to perform edge extraction on all images in the training set A, obtain corresponding edge images, and combine all edge images into a training set B, where the training set B includes multiple sample categories;

[0092] S40. Use the ISRC face recognition algorithm to calculate the residuals between the test sample and eac...

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Abstract

The invention provides a face recognition method and system. The method has the advantages that the computing speed is high, the computing result approaches the optimal solution, and the robustness ishigh; a training sample is aligned to a testing sample, and the face recognition rate is increased; the generated aligned face image and an original face image are simultaneously adopted as the training sample, and a training sample set composed of all samples is effectively expanded; meanwhile, face edge characteristics are extracted as a novel training sample for classified calculation, and theinfluence caused by factors such as complex background or illumination unevenness is effectively lowered; a residual error obtained under the two training samples is effectively combined, and the final face recognition rate is increased finally.

Description

technical field [0001] The present invention relates to the field of face recognition, in particular to a face recognition method and system. Background technique [0002] In recent years, the rapid development of computers has provided room for the development of image processing technology. Among them, face recognition related technologies have begun to deepen and progress in an all-round way, and are widely used in access control management, time attendance, public security departments, e-commerce authentication and other fields. Commonly used face recognition algorithms are divided into the following four categories: methods based on geometric features, methods based on models, methods based on statistics, and methods based on neural networks. [0003] Method based on geometric features: This method considers the various differences in the shape, size and structure of the various organs of the face, and geometrically describes the shape and structural relationship of the...

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Application Information

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IPC IPC(8): G06K9/00G06K9/46G06K9/62
CPCG06V40/168G06V40/172G06V10/44G06V10/462G06F18/24G06F18/214
Inventor 徐勇张海月
Owner HARBIN INST OF TECH SHENZHEN GRADUATE SCHOOL
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