Automatic gender classification using neuro fuzzy system
Bibi Somayeh Mousavi · Indian Journal of Science and Technology · 2011
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