Performance Enhancement of PCA-based Face Recognition System via Gender Classification Method

سال انتشار: 1389
نوع سند: مقاله کنفرانسی
زبان: انگلیسی
مشاهده: 1,725

فایل این مقاله در 6 صفحه با فرمت PDF قابل دریافت می باشد

استخراج به نرم افزارهای پژوهشی:

لینک ثابت به این مقاله:

شناسه ملی سند علمی:

ICMVIP06_134

تاریخ نمایه سازی: 20 فروردین 1390

چکیده مقاله:

In this paper, we demonstrate that gender estimation technique can increase the accuracy of a face recognition system. If the gender of the input image can be estimated correctly before its recognition and compared only with images of the same sex, errors between males and females during recognition step can be eliminated. Consequently, the accuracy will be boosted. Principal Component Analysis (PCA) face recognition system based on single image has been used in our experiment. To be compatible with this recognizer, the proposed gender estimation algorithm uses also a non-training procedure. A part of FERET database including 292 male and 264 female images has been used. Experimental results show 7% accuracy enhancement for PCA recognition system in the presence of gender estimation.

کلیدواژه ها:

نویسندگان

Rohollah Akbari

Electrical and Computer Department, Azad University of Qazvin, Qazvin, Iran

Saeed Mozaffari

Electrical and Computer Department, Semnan University, Semnan, Iran