Human face identification method based on independent characteristic fusion

A face recognition, local feature technology, applied in character and pattern recognition, instruments, computer parts, etc., can solve problems such as difficult extraction and difficulty

Active Publication Date: 2009-03-18
DALIAN UNIV
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Problems solved by technology

However, although humans can identify a person from their faces without difficulty, there are still many difficulties in using computers to perform fully automatic face recognition.
The main manifestations are: the face i...

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  • Human face identification method based on independent characteristic fusion
  • Human face identification method based on independent characteristic fusion
  • Human face identification method based on independent characteristic fusion

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Embodiment Construction

[0045] refer to figure 1 , which is a flowchart of the steps of the present invention, in conjunction with this figure, the implementation process of the present invention will be described in detail. The embodiments of the present invention are implemented on the premise of the technical solutions of the present invention, and detailed implementation methods and specific operation processes are given, but the protection scope of the present invention is not limited to the following embodiments.

[0046] The embodiment adopts a public face database, the ORL face database of the University of Cambridge, UK. The ORL database contains 400 face images of 112×92 size for 40 people, 10 for each person. The images were taken at different times, with variations in pose, angle, scale, expression, and glasses. The specific face recognition process is as follows:

[0047] 1. Image preprocessing

[0048] The face image with a size of 112×92 is preprocessed, mainly including image enha...

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Abstract

The invention discloses a face identification method which blends a global feature and a local feature based on an ICA. As a DCT can efficiently transit a high-dimensional face image into a low-dimensional space and reserves most of identifiable information of the image, the DCT is suitable for extracting the global feature of the image, while a Gabor wavelet transformation is suitable for extracting the local feature and the classification feature of the image, and the two features are widely applied to the face identification. Based on the two methods, we bring in the ICA technology to extract the independent Gabor feature and the independent DCT feature of the image, then efficiently blends the independent Gabor feature and the independent DCT feature to obtain a novel independent feature, enables the novel independent feature to have the local information of the Gabor feature and the global information of the DCT feature, efficiently reduces the dimension of a feature vector, and removes superfluous features. Finally, the blended independent feature is used for the SVM to realize the face classification identification.

Description

technical field [0001] The invention belongs to the field of pattern recognition, in particular to a face recognition method, which is a method for face feature extraction and recognition in the field of biological feature recognition. Background technique [0002] Biometric Identification Technology (Biometric Identification Technology) is a technology that uses human-specific biological characteristics for identification. It provides a highly reliable and stable identification method. Among all biometric identification methods, face recognition is currently the most concerned branch. It is a very active research direction in the field of computer vision and pattern recognition, and is widely used in national security, public security, justice, government, Financial, commercial, security check, security and other identification systems. [0003] Face recognition technology is a technology that extracts the features of the face by computer and performs identity verification...

Claims

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Application Information

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IPC IPC(8): G06K9/00
Inventor 魏小鹏张强周昌军
Owner DALIAN UNIV
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