Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Single sample face recognition method in photo recognition

A face recognition and sample person technology, applied in character and pattern recognition, instruments, computer parts, etc., can solve problems such as lack of representation, insufficient training samples, and performance degradation, and achieve good classification results.

Active Publication Date: 2013-01-02
SOUTHEAST UNIV
View PDF3 Cites 29 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

It is precisely because the number of training samples is not sufficient (only one) and is not representative enough that most of the current mainstream face recognition algorithms either have a serious performance degradation or cannot work properly at all.
Face recognition based on ID card photos, in addition to solving the problems of low recognition rate in the case of a single sample and low robustness to factors such as illumination, expression, and posture, the age span between the image to be recognized and the ID card photo must also be considered adverse effects

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Single sample face recognition method in photo recognition
  • Single sample face recognition method in photo recognition
  • Single sample face recognition method in photo recognition

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0038] The method of the present invention will be further specifically described below through specific examples.

[0039] (1) Face reconstruction and preprocessing in the case of a single sample

[0040] In view of the fact that the feature information provided by a single image for feature extraction is very limited, and the current diverse face recognition technology has achieved good recognition results, through face reconstruction and expansion of the training set capacity, the single-sample problem can be transformed into multiple face recognition. Recognition can be regarded as a good way of thinking.

[0041] The image enhancement method enhances the image of a single sample to highlight the information that is beneficial to the recognition and suppress the features that are useless or even interfere with the recognition. The face reconstruction process uses the combined projection method (Projection Combined Principal Component Analysis, (PC) 2A), the enhanced combi...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The invention discloses a single sample face recognition method in photo recognition. The single sample face recognition method comprises the following steps of: performing face reconstruction on all photo images in a training sample set, and obtaining a novel training sample set; performing Gabor character representation and data dimension reduction processing on the novel training sample set and images in the testing sample; and finally, performing face classification on the Gabor characteristics of the testing sample subjected to dimension reduction by using a support vector machine. According to the method, a complete and effective single sample face recognition solution is provided, the influences of illumination, posture and other factors are avoided to a certain degree, the method is high in recognition rate and high in robustness, and the influence of the age difference on the system performance can be lightened to a certain degree.

Description

technical field [0001] The invention belongs to the field of pattern recognition and image processing, and relates to a method for applying a brand-new and effective single-sample face recognition solution to photo recognition of second-generation ID cards, and in particular to face recognition with only one training image for each object to be recognized. automatic identification system. Background technique [0002] The second-generation ID card is the most frequently used valid ID card for adults over the age of 16 in my country. It carries the holder's unique ID number, face photo and basic personal information. Compared with the first-generation ID card, the second-generation ID card adopts non-contact IC card technology, which has a machine-readable function, that is, the information stored in the chip can be read by the second-generation ID card reader. Face recognition based on second-generation ID card photos is a new application of face recognition that has emerge...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00
Inventor 郑文明周亚丽冯天从
Owner SOUTHEAST UNIV
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products