1. Maersk

.Part of thebook series (AINSC, volume 166) AbstractThis paper is aimed at developing and combining different algorithms for face detection and face recognition to generate an efficient mechanism that can detect and recognize the facial regions of input image.For the detection of face from complex region, skin segmentation isolates the face-like regions in a complex image and following operations of morphology and template matching rejects false matches to extract facial region.For the recognition of the face, the image database is now converted into a database of facial segments. Hence, implementing the technique of Elastic Bunch Graph matching (EBGM) after skin segmentation generates Face Bunch Graphs that acutely represents the features of an individual face enhances the quality of the training set. This increases the matching probability significantly.

Maersk

(Submitted on 22 Oct 2013) Abstract: This paper is aimed at developing and combining different algorithms for facedetection and face recognition to generate an efficient mechanism that candetect and recognize the facial regions of input image. For the detection offace from complex region, skin segmentation isolates the face-like regions in acomplex image and following operations of morphology and template matchingrejects false matches to extract facial region. For the recognition of theface, the image database is now converted into a database of facial segments.Hence, implementing the technique of Elastic Bunch Graph matching (EBGM) afterskin segmentation generates Face Bunch Graphs that acutely represents thefeatures of an individual face enhances the quality of the training set. Thisincreases the matching probability significantly.