Title :
Feature extraction using marker based watershed segmentation on the human face
Author :
Shylaja, S.S. ; Murthy, K. N Balasubramanya ; Natarajan, S. ; Prasad, Anand ; Modi, Atul ; Harlalka, Sanjay
Author_Institution :
Dept. of Inf. Sci. & Eng., P.E.S. Inst. of Technol., Bangalore, India
Abstract :
In this paper, we propose to segment the human face using marker based watershed segmentation, an improved version of watershed segmentation. This algorithm uses the concept of markers as a pre requisite to determine the segments. The proposed method extracts facial features, most importantly the eyes and the lips. The successful feature extraction of the human face can contribute in a significant way to a face recognition algorithm based on the extracted features. The algorithm has been tested on colored face images of various races, obtained from standard databases and produced positive results.
Keywords :
face recognition; feature extraction; image colour analysis; image segmentation; colored face images; eyes; face recognition algorithm; facial feature extraction; human face segmentation; lips; marker based watershed segmentation; Face; Face recognition; Feature extraction; Humans; Image edge detection; Image segmentation; Skin; Chrominance; Marker Based Watershed Segmentation; Skin Detection and Luminous Intensity;
Conference_Titel :
Computer Communication and Informatics (ICCCI), 2012 International Conference on
Conference_Location :
Coimbatore
Print_ISBN :
978-1-4577-1580-8
DOI :
10.1109/ICCCI.2012.6158797