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

Face and iris image fusion and recognition method based on hierarchical structure

A technology that integrates recognition and iris images, applied in character and pattern recognition, special data processing applications, instruments, etc., can solve the problems of not giving full play to face recognition, increase ease of use, reduce false acceptance rate, and system recognition high precision effect

Active Publication Date: 2010-12-01
TIANJIN IRISTAR TECH LTD
View PDF3 Cites 26 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0008] The existing face and iris fusion recognition method does not give full play to the advantages of face recognition and cannot meet the needs of actual systems and application scenarios. The purpose of the present invention is to maximize the complementarity of face recognition and iris recognition. Advantages, the face and iris image fusion recognition method based on hierarchical structure not only improves the accuracy of the system, but also improves the flexibility of the system, and also improves the recognition efficiency of the entire system, which can meet the major applications in the field of national public security Requirements, for which, an effective hierarchical structure-based face and iris image fusion recognition method is proposed

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 and iris image fusion and recognition method based on hierarchical structure
  • Face and iris image fusion and recognition method based on hierarchical structure
  • Face and iris image fusion and recognition method based on hierarchical structure

Examples

Experimental program
Comparison scheme
Effect test

Embodiment example 1

[0104] Implementation case 1: The application of the hierarchical structure-based face and iris image fusion recognition method in the identification of entry-exit personnel.

[0105] The present invention can be widely applied to the scene of identification of entry-exit personnel. In the process of personnel entry and exit customs clearance, it is required to conduct identity authentication conveniently, quickly and accurately. On the one hand, legal users can pass through the customs smoothly, and on the other hand, illegal users must also be kept out. Iris recognition has a high recognition rate, but it is inconvenient to use. Face recognition is easy to use, but the recognition rate is not high. So the present invention can play an important role in this scenario. Assuming that the legal user's face and iris information has been entered into the database when applying for customs clearance, during the process of customs clearance, due to the large flow of people, the fac...

Embodiment example 2

[0106] Implementation case 2: The application of the hierarchical structure-based face and iris image fusion recognition method in the security monitoring scene.

[0107] The present invention can be widely applied to security monitoring scenarios. In the security monitoring scene, it is required to be able to control the personnel appearing in the scene, and to report to the police in time if any illegal personnel appear. For example: a criminal has been arrested, in order to prevent him from continuing to commit crimes in the future, his face and iris information will be registered in the criminal system database. But the criminal refused to change after repeated admonitions and committed the crime again. When it appears within the collection range of the face and iris camera, the face camera and iris camera will capture it in real time, capture its face information and iris information respectively, and the face and iris recognition system will start to work. Call the pol...

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 and iris image fusion and recognition method based on a hierarchical structure, which comprises a registration step R and a recognition step S, wherein in the registration step R, after a feature extraction link R1 for face and iris images of a registered user is carried out, the images are stored in a registration database; and in the recognition step S, the face and iris images are used for recognizing and searching on the basis of the given registration database. The method of the invention improves the accuracy, the usability and the searching efficiency of a biological feature recognition system and has excellent expansibility and compatibility. In the method, the biological feature recognition system based on face and iris fusion can effectively recognize remote pedestrians and has wide application prospects in airports, stations, banks and other safe occasions.

Description

technical field [0001] The invention relates to the fields of digital image processing, pattern recognition, statistical learning and the like, in particular to a method for fusion recognition of human face and iris image based on hierarchical structure. Background technique [0002] Biometric identification technology uses human physiological and behavioral characteristics for identification. Single-modal biometric identification technology has made major breakthroughs in both research and commercial fields, but single-modal biometric identification technology is The accuracy and ease of use of the product are still far from the needs of large-scale applications. The biometric fusion technology of multiple modalities can not only improve the recognition accuracy of the system, but also expand the application field of the system, which is a major trend of the current biometric recognition technology. [0003] Face recognition and iris recognition are the most promising biom...

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): G06K9/62G06K9/46G06F17/30
Inventor 谭铁牛孙哲南张小博
Owner TIANJIN IRISTAR TECH LTD
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