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Shoe-print automatic matching method

An automatic matching and shoe print technology, applied in the field of image processing, can solve problems such as unsatisfactory effect of shoe print pictures, high requirements for preprocessing of shoe print pictures, and errors in recognition results, so as to improve the efficiency of solving crimes, high recognition rate, and reduce work volume effect

Inactive Publication Date: 2007-03-28
SHANGHAI JIAO TONG UNIV
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  • Summary
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  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Its shortcoming is that it relies too much on the operator, resulting in errors in the recognition results
Its shortcoming is that the preprocessing requirements for shoe print images are relatively high, and it can only process clear print images, but the effect of shoe print images taken at crime scenes is not ideal

Method used

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Experimental program
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Embodiment Construction

[0024] Combined with the process shown in Figure 1, the specific implementation steps of the shoeprint automatic matching method based on Zernike moments are as follows:

[0025] 1. The digital image files processed by this system are obtained by scanning the photos of shoe prints taken by criminal investigators at the scene, as shown in Figure 2. Due to the poor quality and incompleteness of the on-site shoe print photos, it is unrealistic to extract features for matching based on the entire shoe print. For this reason, the present invention adopts the method of manual drawing to obtain the shape information with matching value, as shown in FIG. 3 .

[0026] 2. To ensure translation and rotation invariance, the extracted shape is standardized, as shown in Figure 4. The minimum circumscribed square of the shape is made with the centroid as the center, and the shape is transformed to a uniform size by bilinear interpolation. Using this method, translation and scale normalizat...

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Abstract

The invention applies theory of invariant moment to recognizing shoeprint. The method includes following procedures: first, drawing a series of outlines on shoeprint manually; next, using interpolation to shift outlines, standardizing scale; normalizing transformed outline to Zernicke moment in each order of outline picked up by unit circle; using Zernicke moment reconstructs original outline; based on reconstructed capabilities of moments in each order to select characters, which constitute eigenvectors; finally, matching is realized by weighted Euclidean distance among eigenvectors. The invention is applicable to recognize shoeprints in any abnormal outlines. Recognized result is low reliant on operators so as to possess better stability. Comparing with prior art, the invention possesses higher recognition rate, increases efficiency of cracking a criminal case, and reduces workload of detective personnel.

Description

technical field [0001] The invention relates to a method in the technical field of image processing, in particular to an automatic shoeprint matching method based on Zernike moments. Background technique [0002] Shoe prints are the main traces at the scene of the case. They have good stability and have the same function of personal identification as fingerprints and DNA. Compared with fingerprints, shoe prints are easier to obtain at the crime scene, so they are very valuable clues in case detection. At present, most criminal investigation agencies still use the method of manual comparison, that is, manually compare the pictures of shoe prints obtained at the crime scene with the pictures in stock, so as to realize the detection of the case. Due to the huge number of shoe prints, it is necessary to find a computer-based automatic comparison method, which will help reduce the amount of manual operations, improve the accuracy of comparison, and give full play to the role of ...

Claims

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Application Information

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IPC IPC(8): G06K9/00
CPCG06K9/00G06V10/255
Inventor 肖睿施鹏飞
Owner SHANGHAI JIAO TONG UNIV