Abstract                                                

Pattern recognition problem rely upon the features inherent in the pattern of images. Face detection and recognition is one of the challenging research areas in the field of computer vision. In this paper, we present a method to identify skin pixels from still and video images using skin color. Face regions are identified from this skin pixel region. Facial features such as eyes, nose and mouth are then located. Faces are recognized from color images using an RBF based neural network. Unsupervised Cellular Automata with K means clustering algorithm is used to locate different facial elements. Orientation is corrected by using eyes. Parameters like inter eye distance, nose length, mouth position, Discrete Cosine Transform (DCT) coefficients etc. are computed and used for a Radial Basis Function (RBF) based neural network. This approach reliably works for face sequence with orientation in head, expressions etc.

Keywords: Facial features, Face detection, DCT and RBF

Biographies:

P.KIRAN SREE, received his B.Tech in Computer Science & Engineering, from J.N.T.U and M.E in Computer Science & Engineering from Anna University. He has published many technical papers; both in international and national Journals .His areas of interests include Parallel Algorithms, Artificial Intelligence, Compile Design and Computer Networks. He also wrote books on Analysis of Algorithms, Theory of Computation and Artificial Intelligence. He was the reviewer for many IEEE Society Conferences in Artificial Intelligence and Networks. He was also member in many International Technical Committees. He is now associated with S.R.K Institute of Technology, Vijayawada.

Inampudi Ramesh Babu, received his Ph.D in Computer Science from Acharya Nagarjuna University, M.E in Computer Engineering from Andhra University, B.E in Electronics & Communication Engg from University of Mysore. He is currently working as Head & Professor in the department of computer science, Nagarjuna University. Also he is the senate member of the same University from 2006. His areas of interest are image processing & its applications, and he is currently supervising 10 Ph.D students who are working in different areas of image processing. He is the senior member of IEEE, and published 35 papers in international conferences and journals.

BibTex:

@ARTICLE{P1150812009,

AUTHOR = {P.Kiran Sree and I Ramesh Babu },

TITLE = {Face Detection from still and Video Images using Unsupervised Cellular Automata with K means clustering algorithm},

JOURNAL ={ICGST International Journal on Graphics, Vision and Image Processing, GVIP},

YEAR = {2008},

VOLUME = {08},

ISSUE ={II},

PAGES={1--7}

}

(P1150812009, 996 KB)