International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
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Volume 179 - Issue 1 |
Published: Dec 2017 |
Authors: Gogineni Rajesh Chandra, Kolasani Ramchand H. Rao, V. V. Jaya Rama Krishnaiah |
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Gogineni Rajesh Chandra, Kolasani Ramchand H. Rao, V. V. Jaya Rama Krishnaiah . Still Face Image Object Detection using EV-Jones Algorithm. International Journal of Computer Applications. 179, 1 (Dec 2017), 34-38. DOI=10.5120/ijca2017915848
@article{ 10.5120/ijca2017915848, author = { Gogineni Rajesh Chandra,Kolasani Ramchand H. Rao,V. V. Jaya Rama Krishnaiah }, title = { Still Face Image Object Detection using EV-Jones Algorithm }, journal = { International Journal of Computer Applications }, year = { 2017 }, volume = { 179 }, number = { 1 }, pages = { 34-38 }, doi = { 10.5120/ijca2017915848 }, publisher = { Foundation of Computer Science (FCS), NY, USA } }
%0 Journal Article %D 2017 %A Gogineni Rajesh Chandra %A Kolasani Ramchand H. Rao %A V. V. Jaya Rama Krishnaiah %T Still Face Image Object Detection using EV-Jones Algorithm%T %J International Journal of Computer Applications %V 179 %N 1 %P 34-38 %R 10.5120/ijca2017915848 %I Foundation of Computer Science (FCS), NY, USA
Many applications are developed for identification of biometric, classification, cryptography information, identification of forensic, control data access, border surveillance using human face and interaction of human etc. In our work , we have developed Vision based MATLAB tool for identification of various parts of face in human like eyes, ear and nose etc. this tool is developed based on EV-JONES detection of face algorithm. When this algorithm is applied each of the threshold values of face parts are identified and successfully detection based on various types of images which contain one or more objects related to faces in it.