An Advance Approach of Face Recognition using PCA and Region Base Color Segmentation
نویسندگان
چکیده
ABSTARCT Automated face recognition has industrialized a major field of Interest Face Recognition is the typical process of identification of a individual by their facial image. This effective technique Making it possible to use the facial images of a person to authenticate him into a protected system, for criminal identification, for passport verification, entrance control in buildings, access control at automatic teller machines the experimentation involved Eigen faces and PCA (Principal Component Analysis). Recognition rate of 90% was achieved using combination of PCA and region base colour segmentation face recognition techniques.
منابع مشابه
Face Recognition Method using Skin Color segmentation and Connected Region Approach
Human face is the most common biometric used for the identification of different persons. Face gives the information about the exact match for the purpose of security. Many computer vision researchers and Machine Vision researchers are working in this field of Face recognition and detection by the system. This approach covers many areas like Security, Surveillance, and Forensics etc. In this we...
متن کاملPerformance Analysis of Segmentation of Hyperspectral Images Based on Color Image Segmentation
Image segmentation is a fundamental approach in the field of image processing and based on user’s application .This paper propose an original and simple segmentation strategy based on the EM approach that resolves many informatics problems about hyperspectral images which are observed by airborne sensors. In a first step, to simplify the input color textured image into a color image without tex...
متن کاملOn Pose Estimation for Human-Robot Symbiosis
This paper presents a vision based pose estimation system using knowledge based approach for humanrobot symbiosis. The system is based on visual information of the face by connected component analysis of the skin color segmentation of images in HSV color model and is commenced with the face recognition and pose classification scheme using subspace PCA based pattern-matching strategies. With the...
متن کاملA New IRIS Segmentation Method Based on Sparse Representation
Iris recognition is one of the most reliable methods for identification. In general, itconsists of image acquisition, iris segmentation, feature extraction and matching. Among them, iris segmentation has an important role on the performance of any iris recognition system. Eyes nonlinear movement, occlusion, and specular reflection are main challenges for any iris segmentation method. In thi...
متن کاملA New IRIS Segmentation Method Based on Sparse Representation
Iris recognition is one of the most reliable methods for identification. In general, itconsists of image acquisition, iris segmentation, feature extraction and matching. Among them, iris segmentation has an important role on the performance of any iris recognition system. Eyes nonlinear movement, occlusion, and specular reflection are main challenges for any iris segmentation method. In thi...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
دوره شماره
صفحات -
تاریخ انتشار 2014