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A New System for Face Detection based on Eigen Face and Bat Algorithm

عنوان مقاله: A New System for Face Detection based on Eigen Face and Bat Algorithm
شناسه ملی مقاله: NPECE01_356
منتشر شده در اولین کنفرانس بین المللی چشم انداز های نو در مهندسی برق و کامپیوتر در سال 1395
مشخصات نویسندگان مقاله:

Nima Aberomand - Department of Computer Engineering, Shahr Qods Branch, Islamic Azad University, Tehran, Iran
Rama Haghani Panah - Department of Computer Engineering, Shahr Qods Branch, Islamic Azad University, Tehran, Iran
Seyed Mahdi Jameii - Department of Computer Engineering, Shahr Qods Branch, Islamic Azad University, Tehran, Iran
B Bagheri Nakhjavanlo - Member of Academic Islamic Azad University, Iran

خلاصه مقاله:
Face detection consider image analysis and is one of the vital operations for people detection and face matching with existed data. Having enough information from an image is a method which examined in statistical and cognitive recognition which image processing and machine vision are tools of that. Image conception problem is related to have enough information from an image. In this approach, a new method for face detection proposed based on Eigen face as feature extraction and Bat algorithm as classification. This method used for finding people faces as vector in images. The obtained results show that proposed method have high accuracy and speed in comparison to other methods.

کلمات کلیدی:
Face Detection, Eigen face, Bat Algorithm, Image Processing, Machine Vision

صفحه اختصاصی مقاله و دریافت فایل کامل: https://civilica.com/doc/555695/