Onsite sole trace pattern image retrieval method

Abstract

The invention discloses an onsite sole trace pattern image retrieval method. The method comprises the steps as follows: processing the sole trace pattern image collected on the site to obtain a binary image and extracting the spectrum signature of the binary image; obtaining the spectrum signatures of binary images of all sole trace pattern images which are pre-stored in a sample image library; calculating similarity scores of the spectrum signature of the binary image of the sole trace pattern image which is collected on the site and the spectrum signatures of the binary images of the sole trace pattern images which are pre-stored in the sample image library; ordering the similarity scores according to a preset rule and outputting the sole trace pattern images which are pre-stored in the sample image library according to the order. According to the technical solution, the method of the invention could be used for retrieving the low-quality sole trace pattern image collected on the site. The retrieval method is simple, fast in speed, and relative accurate and comprehensive in result.

Description

technical field [0001] The invention relates to the fields of image processing and recognition, computer vision, machine learning, public safety, etc., and in particular relates to an on-site shoe sole trace pattern image retrieval method. Background technique [0002] At present, the shoe sole pattern retrieval at home and abroad is mainly divided into three categories: label-based, pattern-based and feature-based retrieval methods. [0003] Recently, the Fourier transform is used to classify the complete or partial shoe sole trace patterns, which can solve the scaling and rotation problems of the image, and encode the frequency domain information. In 2005, Philip deChazal proposed an automatic shoe sole pattern retrieval system based on Fourier transform. The specific method is: perform Fourier transform on the sole trace picture, and calculate its power spectral density as a feature for matching. Without considering the noise, the correct rate of matching is about 85%, w...

AI Technical Summary

Problems solved by technology

[0008] The purpose of the present invention is to overcome the deficiencies of the prior art, solve the problem of shoe print recognition under strong interference conditions such as geometric distortion, uneven illumination, and incompleteness encountered at the crime scene, an

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