A New System for Face Detection based on Eigen Face and Bat Algorithm
Nima Aberomand,
Department of Computer Engineering, Shahr-e-Qods Branch, Islamic Azad University, Tehran, Iran, Nima.Aberomand@gmail.com
Rama Haghani Panah,
Department of Computer Engineering, Shahr-e-Qods Branch, Islamic Azad University, Tehran, Iran, RamaHaghaniPanah@gmail.com
Seyed Mahdi Jameii,
Department of Computer Engineering, Shahr-e-Qods Branch, Islamic Azad University, Tehran, Iran, Jamei@Qodsiau.ac.ir
Bashir Bagheri Nakhjavanlo,
Islamic Azad University, Iran, Bagheri@iaufb.ac.ir
Abstract
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’s faces as vector in images. The obtained results show that proposed method has high accuracy and speed in comparison to other methods.
Keywords : Bat algorithm, Eigen face, face detection, image processing, machine vision
Para citar este artículo
Nima Aberomand, Rama Haghani Panah, Seyed Mahdi Jameii & Bashir Bagheri Nakhjavanlo, «A New System for Face Detection based on Eigen Face and Bat Algorithm», Bulletin de la Société Royale des Sciences de Liège [En ligne], Volume 86 - Année 2017, Special issue, 461 - 473 URL : http://popups.ulg.be/0037-9565/index.php?id=6821.