Face recognition method used for mobile terminal

A face recognition and mobile terminal technology, applied in the field of face recognition, can solve problems such as error, large database organization structure, unsatisfactory system work efficiency, etc., and achieve the effect of improving recognition rate and matching speed

Inactive Publication Date: 2013-08-21
SUZHOU FUFENG TECH
View PDF4 Cites 11 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The existing face recognition method is to index and match from a massive database when identifying image features. The organizational structure of the database

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
  • Face recognition method used for mobile terminal

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0020] The present invention will now be further described in detail in conjunction with the accompanying drawings and embodiments. These drawings are all simplified schematic diagrams, only illustrating the basic structure of the present invention in a schematic manner, so it only shows the composition related to the present invention.

[0021] Such as figure 1 As shown, the face recognition method for mobile terminals of the present invention mainly performs the following steps:

[0022] S10, create content-based image retrieval database, this image database is two, and the image data of database one utilizes Spider network spider program to grab character image and explanatory text in the webpage and deposits; The image data of database two is composed of professional image and Its annotation composition provides authoritative explanations for users; it is used to make up for the lack of professional image libraries.

[0023] S20. Classify the image information in the data...

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 relates to a face recognition method used for a mobile terminal. First, a content-based image retrieval data bank is built first, then image information in the data bank is classified, facial feature extraction and indexing processing are carried on the classified image information, a facial feature library storing facial line codes is built for the processed image information, an image taken by a mobile phone user is sent to a server of the data bank through a wireless network, the server extracts the facial features of the received image, finally carries out matching retrieval in the feature library, and sends image information with high similarity back to the mobile phone user in the mode of the SMS to carry out identity verification. Due to the fact that the matching retrieval is carried out on the classified image features, the rate of recognition is promoted, and the matching speed is greatly promoted.

Description

technical field [0001] The invention relates to a face recognition method, in particular to a face recognition method for a mobile terminal. Background technique [0002] Face recognition, specifically refers to the computer technology that uses the analysis and comparison of facial visual feature information for identity identification. Face recognition is a popular computer technology research field, face tracking detection, automatic adjustment of image magnification, night infrared detection, automatic adjustment of exposure intensity; ) Its own biological characteristics to distinguish individual organisms. The existing face recognition method is to index and match from a massive database when identifying image features. The organizational structure of the database is relatively large, and the system work efficiency is not satisfactory; The features are sometimes very similar, and when retrieving a match, errors are sometimes introduced. Contents of the inventio...

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
IPC IPC(8): G06K9/00G06K9/62
Inventor 张会林孙利华
Owner SUZHOU FUFENG TECH
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products