فصلنامه علمی

نوع مقاله: مقاله پژوهشی

نویسندگان

دانشکده مهندسی کامپیوتر، دانشگاه شهید رجایی،تهران،ایران

چکیده

در این مقاله، به آموزش بازشناسی چهره مبتنی بر اختلاط خبره ها پرداخته شده است و ایده اساسی آن اضافه کردن واحد گشتاور به ساختار اختلاط خبرهها با هدف افزودن کارایی بازشناسی چهره می­باشد. این واحد به هر طبقه بند ساختار اختلاط خبره ها نسبت داده می شود. برای استخراج ویژگی از تجزیه مؤلفه های اساسی و برای بازشناسی از روش بهبود یافته اختلاط خبره ها با اضافه کردن واحد گشتاور بهره گرفته شده است. ضمناً در ساختار اختلاط خبره های به کار گرفته شده به جای به کارگیری شبکه پرسپترون خطی در خبره های ساختار اختلاط خبره های مرسوم از شبکه پرسپترون چندلایه استفاده شده است. در آزمایش ها سه ساختار متفاوت بر روی مجموعه تصاویر Yale و ORL در مقایسه با روش ارایه شده، مورد بررسی قرار گرفته شده است. نتایج آزمایش ها حاکی از این است که ساختار ارایه شده با سرعت بیشتری به کاراییبالاتری رسیده است.

کلیدواژه‌ها

موضوعات

عنوان مقاله [English]

Face Recognition by Combining Neural Network based on Mixture of Experts

نویسندگان [English]

  • R. Ebrahimpour
  • N. Taheri Makhsous
  • A. Hajiani

Faculty of Computer Engineering, Shahid Rajaei Teacher Training University, Tehran, Iran

چکیده [English]

This paper proposed a new method for face recognition with principal component analysis in the feature extraction phase, and devised a modified version of Mixture of Experts in which each expert is an MLP, instead of linear networks in order to improve the performance of the expert networks, and consequently the whole network performance; Therewith, we use a Momentum term in training the MLP experts, which speeds up the adjustment of weight greatly. We explore three different Mixture of Experts constructing a neural network. Our proposed model, achieved a correct recognition rate on Yale and ORL datasets. Comparisons with other algorithms demonstrate that our method performs better in terms of higher recognition rate, with smaller number of epochs in human face recognition.

کلیدواژه‌ها [English]

  • Recognition of faces
  • mixing of experts
  • torque unit
  • analysis of basic components

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