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Human ear detection under complex background and method for syncretizing various information

A multi-information fusion and human ear recognition technology, applied in the field of personal identity recognition, can solve the problem of lack of formation, and achieve the effects of improving accuracy, saving recognition time, and narrowing the scope.

Inactive Publication Date: 2009-06-03
CHONGQING UNIV
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AI Technical Summary

Problems solved by technology

[0006] For the current research and application of human ear detection in complex backgrounds, various human ear recognition methods have too many conditional restrictions, the research on human ear detection and human ear recognition is independent of each other, and a complete system has not yet been formed, etc. Problem, the present invention proposes a method to realize human ear detection and human ear recognition in complex backgrounds, and complete the whole process from automatic detection to recognition of human ears

Method used

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  • Human ear detection under complex background and method for syncretizing various information
  • Human ear detection under complex background and method for syncretizing various information
  • Human ear detection under complex background and method for syncretizing various information

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Embodiment Construction

[0031] Step 1: Human ear detection in complex background

[0032] (1) Obtain an image sequence or static color picture containing the side of the human body through the camera, judge the source of the acquired image, and select a corresponding method to detect the human ear according to the judgment result.

[0033] If it is an image sequence containing the side of the human body, use the adaptive background difference model to extract the moving target, use the Kalman filter algorithm based on human activity contour tracking to find the human body from the moving target, and then use the skin color model to extract the skin color area in the human body, and then Use the coordinate ratio of the human body to determine the candidate area of ​​the human ear, complete the rough positioning of the human ear, and finally use the human ear contour fitting method to accurately locate the human ear.

[0034] If it is a static color picture, the skin color area is located by the skin c...

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Abstract

A human ear identifying-method under complicated background includes obtaining image series of human body side surface containing human ear according to different application occasions, picking up human body image from complicated background and carrying out accurate positioning on human ear to obtain a minimum rectangular region of human ear image, making rough classification on potential trap numbers picked up from human ear image by using field conversion algorithm and using watershed algorithm to pick up edge of human ear, picking up human ear characteristics from said edge information for realizing final identification based on rough classification.

Description

technical field [0001] The invention belongs to the personal identification technology based on human biological characteristics, and in particular relates to the positioning of human ears in complex backgrounds, and a recognition method combining force field characteristics and edge contour characteristics of human ears. Background technique [0002] Since the "9.11" terrorist incident in the United States, technologies such as electronics, information processing, computers, network communications, and artificial intelligence have been effectively used to identify personnel identities conveniently, accurately, and reliably, to protect the legitimate rights and interests of social members and public safety, and to maintain World peace has become an important issue to be solved by governments of all countries and the international community. At this stage, identification methods based on identity marks, such as certificates, accounts, passwords, etc., are generally used. Alt...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06K9/00G06K9/80
Inventor 刘嘉敏王玲李丽娜杨奇李以农刘宇莫兴俊兰逸君
Owner CHONGQING UNIV
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