Paper Title :Person Identification And Gender Classification Using Gabor Filters And Fuzzy Logic

Author :Nusrath Ali T K, Lidiya Xavier

Article Citation :Nusrath Ali T K ,Lidiya Xavier , (2014 ) " Person Identification And Gender Classification Using Gabor Filters And Fuzzy Logic " , International Journal of Electrical, Electronics and Data Communication (IJEEDC) , pp. 20-23, Volume-2,Issue-4

Abstract : Abstract –As Human –Computer Interaction technology (HCI) evolves computer vision systems for people monitoring will play an increasingly important role in our lives. Examples include human face detection, person identification and gender detection. Gender detection has many applications such as image and film processing criminal applications, and security checking system. Detection of gender by using the facial features is done by many methods such as automatically detected and aligned faces, artificial neural networks and support vector machine. In this work, Gabor filters and orthogonal basis functions are used for feature extraction and fuzzy logic is used for classification. The proposed system was tested with GTAV database. The proposed approach is evaluated with various poses other than the frontal pose.

Type : Research paper

Published : Volume-2,Issue-4

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