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Mousavi, B. Somayeh
- Automatic Gender Classification Using Neuro Fuzzy System
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Authors
Affiliations
1 Department of Computer, Zahedan Branch, Islamic Azad University, Zahedan, IR
2 Department of Economic, Khash Branch, Islamic Azad University, Khash, IR
1 Department of Computer, Zahedan Branch, Islamic Azad University, Zahedan, IR
2 Department of Economic, Khash Branch, Islamic Azad University, Khash, IR
Source
Indian Journal of Science and Technology, Vol 4, No 10 (2011), Pagination: 1198-1201Abstract
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 DatabaseFull Text
References
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