Rule based segmentation and subject identification using fiducial features and subspace projection methods

Date
2007
Authors
Ince, E. A.
Ali, S. A.
Advisor
Instructor
Source Title
Journal of Computers
Print ISSN
1796-203X
Electronic ISSN
Publisher
Academy Publisher
Volume
2
Issue
4
Pages
68 - 75
Language
English
Type
Article
Journal Title
Journal ISSN
Volume Title
Abstract

This paper describes a framework for carrying out face recognition on a subset of standard color FERET database using two different subspace projection methods, namely PCA and Fisherfaces. At first, a rule based skin region segmentation algorithm is discussed and then details about eye localization and geometric normalization are given. The work achieves scale and rotation invariance by fixing the inter ocular distance to a selected value and by setting the direction of the eye-to-eye axis. Furthermore, the work also tries to avoid the small sample space (S3) problem by increasing the number of shots per subject through the use of one duplicate set per subject. Finally, performance analysis for the normalized global faces, the individual extracted features and for a multiple component combination are provided using a nearest neighbour classifier with Euclidean and/or Cosine distance metrics.

Course
Other identifiers
Book Title
Keywords
Color FERET database, Feature extraction, Geometric normalization, Skin color segmentation, Subspace analysis methods, Distance metrics, Euclidean, Eye localization, FERET database, Fisher-faces, Geometric normalization, Multiple components, Nearest-neighbour classifier, Number of shots, Performance analysis, Region segmentation, Rule based, Scale and rotation, Skin-color segmentation, Small samples, Subject identification, Subspace analysis, Subspace projection methods, Feature extraction, Face recognition
Citation
Published Version (Please cite this version)