Method for realizing remote authentication by fusing gait flow images (GFI) and head and shoulder procrustes mean shapes (HS-PMS)

A gait and optical flow technology, applied in the field of pattern recognition, can solve the problems of further improvement of recognition accuracy and complex implementation, and achieve the effect of rapid extraction and improvement of recognition rate

Inactive Publication Date: 2013-04-17
BEIJING UNIV OF TECH
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Problems solved by technology

However, the implementation of these methods is relatively complicated, and the recognition accuracy needs to be further improved.

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  • Method for realizing remote authentication by fusing gait flow images (GFI) and head and shoulder procrustes mean shapes (HS-PMS)
  • Method for realizing remote authentication by fusing gait flow images (GFI) and head and shoulder procrustes mean shapes (HS-PMS)
  • Method for realizing remote authentication by fusing gait flow images (GFI) and head and shoulder procrustes mean shapes (HS-PMS)

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Embodiment Construction

[0040] The present invention will be described in further detail in conjunction with the accompanying drawings. as attached figure 1 Shown, the present invention specifically comprises the following steps:

[0041] (1) Pretreatment

[0042] The gait features LK-GFI and HS-PMS are based on the silhouette images in a single gait cycle. In order to obtain high-quality gait silhouette images, the original gait image sequence needs to be preprocessed.

[0043] The pretreatment process of the present invention comprises:

[0044] ①Segmentation of moving objects: use the background subtraction method to segment the moving objects from the background image, set the threshold to 210, and perform binarization on the image so that the gray value of the pixels is 0 or 255 to obtain the silhouette of the human gait .

[0045] ②Morphological processing: The gait silhouette image obtained by the background subtraction method contains noise and holes due to interference factors such as li...

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Abstract

The invention belongs to the field of pattern recognition and particularly relates to a method for realizing remote authentication by fusing gait flow images (GFI) and head and shoulder procrustes mean shapes (HS-PMS). The method comprises the following steps of: preprocessing; estimating walking directions and determining visual angles; establishing a dynamic feature classifier for gaits; establishing a static feature for the gaits; fusing similarities between the dynamic feature classifier and the static feature according to the product rule at a matching layer to obtain decision information. According to the method for realizing remote authentication by fusing the GFIs and the HS-PMSs, the visual angles are introduced to serve as the rules of the classifiers, and thus, the problem that gait recognition is greatly influenced by the visual angle is solved. An optical flow field between adjacent two profile images is calculated by utilizing a Lacus-Kanade optical flow method, so that the real-time processing capacity of an algorithm is improved. The dynamic information and the static information of the gaits are fused, so that the separability of the method is improved, and the recognition performance is improved.

Description

technical field [0001] The invention belongs to the field of pattern recognition, and in particular relates to a long-distance identity recognition method which combines gait optical flow graph and head-shoulder average value shape. Background technique [0002] With the development of the times and society, the demand for personal identity authentication and management continues to grow. Accurate identification of a person's identity and protection of information security have become a social problem that must be solved. With its unique uniqueness, universality, stability and non-reproducibility, biometric identification technology is widely used in security, authentication and other identification fields. At present, the biometric features that are relatively mature include: fingerprints, irises, faces, DNA, veins on the back of hands, signatures, etc. However, they usually require close-range or tactile sensing, and the recognition performance of these biometric features...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/62
Inventor 贾松敏王丽佳王爽李秀智
Owner BEIJING UNIV OF TECH
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