• Mr. Ranjan Kumar Singh
• Mr. Mahesh Kumar

This proposed a face detection method which is based on feature selection and optimization. In these days, current research trend of biometric security are used as the process of feature optimization for better improvement in face detection technique. Basically, this face consists of three types of features such as color of skin, texture and the shape and size of face. The most important feature of face is the color of skin and texture of face. In this detection methods, its uses texture feature of the face images. Face recognition, which is a longstanding computer vision problem and, a variety of face detection/recognition methods have been discussed over the past years. Among which most methods have achieved best and impressive performance under various controlled conditions where frontal holistic face images are normalized and realigned , there are still a lot of challenges for unconstrained face recognition in many real world applications. Typical face detection applications include smart surveillance systems, various technologies and handheld devices, where faces may be occluded by objects or other faces under many types of crowded scenes. In those conditions, only partial faces can be obtained and which caused face alignment may fail to work with facial landmarks occluded

"AUTOMATIC PARTIAL FACE RECOGNITION", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 5, page no.186-189, May-2019, Available :http://www.jetir.org/papers/JETIR1905A33.pdf

"AUTOMATIC PARTIAL FACE RECOGNITION", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 5, page no. pp186-189, May-2019, Available at : http://www.jetir.org/papers/JETIR1905A33.pdf