A Method Based on Geometrical Features of Face and Using RB Neural Network to Classify People’s Age
Publish place: 4th Broadcasting Engineering Conference
Publish Year: 1390
نوع سند: مقاله کنفرانسی
زبان: English
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شناسه ملی سند علمی:
IBBEC04_002
تاریخ نمایه سازی: 11 شهریور 1391
Abstract:
A method for distinguishing people’s age based on their photo to the degree of stating the rate of their age is proposed. First the people’s face is extracted from their photo and then some features such as location of eyes, lip, nose, chin and forehead to each other is obtained. Finally by using RB neural network, age classification is made in three age ranges. The obtained results shows that incase the mentioned features are extracted correctly, RB neural network can fully determine three age ranges precisely. Comparing the results with two other classification methods including SVM and KNN indicates the primacy of RB neural network.
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Authors
Mehrdokht Bordbar
Electronic and Communication Department, Faculty of Electrical and Computer Engineering,Shiraz University, Shiraz, Iran
Mehran Yazdi
Electronic and Communication Department, Faculty of Electrical and Computer Engineering,Shiraz University, Shiraz, Iran
Sara Mardani Samani
Electronic and Communication Department, Faculty of Electrical and Computer Engineering,Shiraz University, Shiraz, Iran
Roya Mobaraki
Electronic and Communication Department, Faculty of Electrical and Computer Engineering,Shiraz University, Shiraz, Iran
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