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Automatic Gender Classification Using Neuro Fuzzy System


Affiliations
1 Department of Computer, Zahedan Branch, Islamic Azad University, Zahedan, Iran, Islamic Republic of
2 Department of Economic, Khash Branch, Islamic Azad University, Khash, Iran, Islamic Republic of
 

The automatic classification of gender has important applications in many commercial domains. Existing systems mainly use features such as words, word classes, and POS (part of speech) n-grams, for classification learning. In this paper, we propose a novel automatic classifier which applies accurately designed fuzzy inference system. This system is 2-inputs, 1-output Sugeno type one, applies facial characteristics as inputs and reveals the probability of being male face or not. Choosing proper threshold value, the decision about gender is made. 87.5% rate of obtained classification proves the efficiency of the proposed method.

Keywords

Gender Classification, Fuzzy Inference System, Neuro Fuzzy, Face Database
User

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  • Automatic Gender Classification Using Neuro Fuzzy System

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Authors

B. Somayeh Mousavi
Department of Computer, Zahedan Branch, Islamic Azad University, Zahedan, Iran, Islamic Republic of
Alireza Hirad
Department of Economic, Khash Branch, Islamic Azad University, Khash, Iran, Islamic Republic of

Abstract


The automatic classification of gender has important applications in many commercial domains. Existing systems mainly use features such as words, word classes, and POS (part of speech) n-grams, for classification learning. In this paper, we propose a novel automatic classifier which applies accurately designed fuzzy inference system. This system is 2-inputs, 1-output Sugeno type one, applies facial characteristics as inputs and reveals the probability of being male face or not. Choosing proper threshold value, the decision about gender is made. 87.5% rate of obtained classification proves the efficiency of the proposed method.

Keywords


Gender Classification, Fuzzy Inference System, Neuro Fuzzy, Face Database

References





DOI: https://doi.org/10.17485/ijst%2F2011%2Fv4i10%2F30158