A novel hybrid face profile recognition system using the FERET and MUGSHOT databases

Author

Wallhoff, Frank ; Rigoll, Gerhard

Author_Institution

Dept. of Comput. Sci., Gerhard Mercator Univ., Duisburg, Germany

Volume

1

fYear

2001

fDate

6/23/1905 12:00:00 AM

Firstpage

1014

Abstract

Face recognition has established itself as an important subbranch of pattern recognition within the field of computer science. Many state-of-the-art systems have focused on the task of recognizing frontal views of people. We present an approach for recognizing profile views (90°) with a system trained on transformed frontal views. The system combines an artificial neural network (ANN) and a classification process based on hidden Markov models (HAM). One of the main ideas of this system is to perform the recognition task without the use of any 3D-information of heads and faces. The presented system has been tested with subsets of the FERET and the MUGSHOT databases

Keywords

face recognition; hidden Markov models; image classification; learning (artificial intelligence); neural nets; ANN; FERET database; HMM; MUGSHOT database; artificial neural network; classification process; face recognition; hidden Markov models; hybrid face profile; profile views; Artificial neural networks; Computer science; Data security; Face recognition; Head; Hidden Markov models; Image databases; NIST; Pattern recognition; System testing;

fLanguage

English

Publisher

ieee

Conference_Titel

Image Processing, 2001. Proceedings. 2001 International Conference on

Conference_Location

Thessaloniki

Print_ISBN

0-7803-6725-1

Type

conf

DOI

10.1109/ICIP.2001.959220

Filename

959220