Abstract
A lot of researches have been done about image processing these years. One of the most widely used fields is face recognition based on the appearance features. In this research, 250 samples of different people's faces have been taken in RGB mode as the input data and every image is changed to HSV colored mode. Then we calculate each image's symbols and the average colored of each symbol. Then we calculate the angles between applied symbols. In the next step we calculate the considered parameters based on symbols, average colored spectrum of symbols and the angles between them and they have been saved in the database. Finally, we determine the degree of similarity between images using features such as symbols, average colored spectrum of symbols and the angle between them. They were grouped as set. Based on the observed experimental results, this method's efficiency is 10 percent more than the method which is based on the symbol. Also it is more efficient 10.5 percent than the methods based on spatial and objective similarity or only based on the color.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
