An automatic person identification method based on barefoot or socks footprint images

Abstract

The invention provides an automatic person identification method based on barefoot or stockinged footprint images. The method includes the steps that (S1) the number of footprints is calculated, if only one footprint exists, the step S2 is executed, and otherwise, the step S3 is executed; (S2) structure shape and pressure features of the footprint are extracted, and the step S4 is executed; (S3) related features of cluster footprints are extracted if multiple cluster footprints exist, single footprint partition is carried out, structure shape and pressure features are extracted, and the step S4 is executed; (S4) feature query is carried out, similarity analysis and scoring are carried out on the footprint features and individuals in a sample database, and the step S5 is executed; (S5) if the score is smaller than a certain score, the step S6 is executed, and otherwise, the step S7 is executed; (S6) feature training is carried out on the extracted footprint features, the sample database is updated, and the identification process is over; (S7) the individual with the highest score serves as a query result and is output, and identification is over. By means of the method, quantitative statistics and scoring can be carried out on the features of the footprints, automatic footprint identification is achieved according to scoring results, and accordingly person identification is achieved.

Description

technical field [0001] The invention relates to an automatic identification method, in particular to an automatic personal identification method based on barefoot or stocking footprint images, and belongs to the field of automatic identification methods. Background technique [0002] At present, the methods of personal identification based on images of barefoot or socks-wearing footprints are mainly based on manual identification. The sample database is basically people who have collected barefoot or socks-wearing footprints, and non-digital files such as files and on-site photos are used. Among them, qualitative analysis lacks objective quantitative standards for comparison. Therefore, it is difficult to achieve the purpose of fast, accurate and efficient identification in the whole process. As a result, there is currently no method for automatic personal identification using barefoot or socks footprint images. . [0003] At the same time, in the process of manual identifi...

AI Technical Summary

Problems solved by technology

[0002] At present, the method of personal identification based on images of barefoot or socks-wearing footprints is mainly based on manual identification. The sample database is basically people who have collected barefoot or socks-wearing footprints, and non-digital files such as files and on-site photos are used. Among them, qualitative analysis lacks objective quantitative standards for comparison. Therefore, it is difficult to achieve fast, accurate, and efficient identification in the whole process. As a result, there is currently no automatic identification method using barefoot or socks footprint images.

[0003] At the same time, in the process of manual identification, the quantitative feature classification is based on the hard threshold method, so that when making comparisons, the feature boundary problem will be more obvious, reducing the accuracy of quantitative feature classification

From the perspective of comprehensive analysis of various barefoot and stocking footprint image features, the feature analysis weights of the same dimension have not been analyzed hierarchically, and feature quantities of different dimensions can be combined for comprehensive judgment, namely: curve features and point features It cannot be combined for analysis, which will reduce the correlation between features and increase the error of identification results

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