Fingerprint Based Gender Classification Using Local Binary Pattern

摘要

Gender classification from a fingerprint is an crucial step in forensic anthropology which plays a vital role for criminal identification which minimizes suspects searc list. A fingerprint biometric trait is one of the important traits working with good results in gender classification and identification. In this research work, local texture features are used for detection and classification of gender knowledge using fingerprints. As an experiment 400 real fingerprints were collected from different age groups of urban and rural people. An experimental observation is 95.88 % of classification rate is succeed using features of local binary pattern. The work has been analyzed and the results reported in this are found to be satisfactory and more competitive.