Abstract:

In order to achieve accurate identification of girl’s figure, a large number of girl samples are collected to establish a database with detailed measurement index information. The data were analyzed and the girl’s figure are divided into three types using cluster analysis method. On the basis, the Naive Bayesian (NB) algorithm is applied to the study of girl’s figure discrimination, and the discriminant model is established. The discrimination of girl’s figure is realized. At the same time, the similar body of the test sample in the database is found through querying based on size variation, take advantage of main measurement size. And finally, the radar map was charted to fit the main measurement size of them. The study provides, the discriminant accuracy of girl’s figure discriminant model established by NB algorithm reached 94%. And the error of test sample and similar body’s main measurement size is small in the radar map. The test sample can be replaced by the similar body, and the method provides data support for the relevant application areas needing to acquire detailed measurement information about girls.

Key words: girl's figure classification, figure discrimination, Naive Bayesian method, size fitting