%0 Journal Article %1 noauthororeditor %A James, Rakeshkumar H Yadav Brajgopal Agarwal Sheeba %D 2018 %J International Journal of Trend in Scientific Research and Development %K Artificial Component Eigen Face Intelligence Principle Thermal analysis cameras detection faces recognition %N 4 %P 1815-1818 %T Face Recognition System %U http://www.ijtsrd.com/computer-science/artificial-intelligence/14453/face-recognition-system/rakeshkumar-h-yadav %V 2 %X Face is a important part through which we can identify who we are and how people identify us. Face is a person's most valuable and unique physical characteristics through which we can identify someone very easily. While humans have the innate ability to distinguish the different faces for millions of years for adding the new technology computers are just now catching up. A face recognition system is a computer application that is capable of identifying or verifying the person from a digital image or a video frame from video source. One of the way is to do this is by compare with the selected facial features and also a face database. Humans are having good tendency to recognizing faces. Rakeshkumar H Yadav | Brajgopal Agarwal | Sheeba James"Face Recognition System" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-2 | Issue-4 , June 2018, URL: http://www.ijtsrd.com/papers/ijtsrd14453.pdf http://www.ijtsrd.com/computer-science/artificial-intelligence/14453/face-recognition-system/rakeshkumar-h-yadav

@article{noauthororeditor, abstract = {Face is a important part through which we can identify who we are and how people identify us. Face is a person's most valuable and unique physical characteristics through which we can identify someone very easily. While humans have the innate ability to distinguish the different faces for millions of years for adding the new technology computers are just now catching up. A face recognition system is a computer application that is capable of identifying or verifying the person from a digital image or a video frame from video source. One of the way is to do this is by compare with the selected facial features and also a face database. Humans are having good tendency to recognizing faces. Rakeshkumar H Yadav | Brajgopal Agarwal | Sheeba James"Face Recognition System" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-2 | Issue-4 , June 2018, URL: http://www.ijtsrd.com/papers/ijtsrd14453.pdf http://www.ijtsrd.com/computer-science/artificial-intelligence/14453/face-recognition-system/rakeshkumar-h-yadav }, added-at = {2018-09-10T07:28:26.000+0200}, author = {James, Rakeshkumar H Yadav Brajgopal Agarwal Sheeba}, biburl = {https://www.bibsonomy.org/bibtex/24405b89958360dcaddeeaf112afb0963/ijtsrd}, interhash = {22f65c4abaeffced655b67a3735d45fc}, intrahash = {4405b89958360dcaddeeaf112afb0963}, issn = {2456-6470}, journal = {International Journal of Trend in Scientific Research and Development}, keywords = {Artificial Component Eigen Face Intelligence Principle Thermal analysis cameras detection faces recognition}, language = {English}, month = {June}, number = 4, pages = {1815-1818}, timestamp = {2018-10-02T11:01:27.000+0200}, title = {Face Recognition System }, url = {http://www.ijtsrd.com/computer-science/artificial-intelligence/14453/face-recognition-system/rakeshkumar-h-yadav}, volume = 2, year = 2018 }