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A Face Recognition Method Based on Improved Local Two-Dimensional Pattern

A portrait recognition and portrait technology, which is applied in the fields of feature processing, image segmentation, feature matching, and image processing, can solve the problems of high complexity, slow speed, and high computing requirements of portrait recognition, and achieve effective recognition of portraits, speed up recognition, and fast And recognize the effect of portrait

Active Publication Date: 2020-12-22
SOUTH CHINA UNIV OF TECH
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0006] The purpose of the present invention is to solve the defects of high complexity, high calculation requirements and slow speed in current portrait recognition, and provide a portrait recognition method based on an improved partial two-dimensional pattern

Method used

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  • A Face Recognition Method Based on Improved Local Two-Dimensional Pattern
  • A Face Recognition Method Based on Improved Local Two-Dimensional Pattern
  • A Face Recognition Method Based on Improved Local Two-Dimensional Pattern

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Embodiment 1

[0055] This embodiment discloses a portrait recognition method based on an improved local two-dimensional pattern, the purpose of which is to analyze images containing portraits through an improved LBP operator, and obtain an improved LBP operator for the portrait part, thereby achieving rapid recognition of portraits the goal of. In this embodiment, a schematic flow chart of a portrait training process based on an improved partial two-dimensional pattern and a schematic flow chart of a portrait recognition process based on an improved partial two-dimensional pattern are as follows: figure 1 and figure 2 As shown, it specifically includes the following steps:

[0056] T1. Obtain the portrait feature values ​​in the portrait sample image group to form the portrait database A. Assuming that the portrait sample group is S, there are a total of a different person objects in the sample image, and each person has b sample images, then the sample group has a total of m=a×b, and th...

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Abstract

The invention discloses a face recognition method based on an improved local two-dimensional mode. According to the method, an improved local two-dimensional mode (LBP) feature is used; LBP feature values representing portrait textures in the image containing the portrait are obtained by carrying out a large number of feature analysis on the textures in the image containing the portrait, and thenthe feature values are compared with the newly obtained portrait image of the same group of people, so that the purpose of recognizing the portrait of the target crowd can be achieved. According to the improved local two-dimensional mode, on the basis of an equivalent mode, threshold processing is conducted on part of parameters to achieve the effect of smoothing a non-edge area. The improved LBPmode contrast equivalent mode provided by the invention is more accurate in distinguishing capability of texture features in portrait recognition.

Description

technical field [0001] The invention relates to the technical fields of image processing, image segmentation, feature processing, feature matching, etc., and specifically relates to a portrait recognition method based on an improved local two-dimensional pattern. Background technique [0002] Broadly speaking, the face recognition process mainly includes four parts: face detection, image preprocessing, face feature extraction and face discrimination. [0003] Face detection refers to judging whether there is a human face in any input image or video, and if so, distinguishing the face area from the background, and giving relevant information such as the position and size of the face. It can also detect faces in real-time in a set of image sequences or dynamic videos for face tracking. Face detection is mainly affected by factors such as illumination, noise, pose and occlusion. As the first step of the face recognition system, face detection is directly related to the accura...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06K9/00
Inventor 谢巍刘希
Owner SOUTH CHINA UNIV OF TECH
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