Using genetic algorithms to find person-specific Gabor feature detectors for face indexing and recognition

Sreekar Krishna, John Black, Sethuraman Panchanathan

Research output: Chapter in Book/Report/Conference proceedingConference contribution

5 Citations (Scopus)

Abstract

In this paper, we propose a novel methodology for face recognition, using person-specific Gabor wavelet representations of the human face. For each person in a face database a genetic algorithm selects a set of Gabor features (each feature consisting of a particular Gabor wavelet and a corresponding (x, y) face location) that extract facial features that are unique to that person. This set of Gabor features can then be applied to any normalized face image, to determine the presence or absence of those characteristic facial features. Because a unique set of Gabor features is used for each person in the database, this method effectively employs multiple feature spaces to recognize faces, unlike other face recognition algorithms in which all of the face images are mapped into a single feature space. Face recognition is then accomplished by a sequence of face verification steps, in which the query face image is mapped into the feature space of each person in the database, and compared to the cluster of points in that space that represents that person. The space in which the query face image most closely matches the cluster is used to identify the query face image. To evaluate the performance of this method, it is compared to the most widely used subspace method for face recognition: Principle Component Analysis (PCA). For the set of 30 people used in this experiment, the face recognition rate of the proposed method is shown to be substantially higher than PCA.

Original languageEnglish (US)
Title of host publicationAdvances in Biometrics - International Conference, ICB 2006, Proceedings
Pages182-191
Number of pages10
Volume3832 LNCS
StatePublished - 2006
EventInternational Conference on Biometrics, ICB 2006 - Hong Kong, China
Duration: Jan 5 2006Jan 7 2006

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume3832 LNCS
ISSN (Print)03029743
ISSN (Electronic)16113349

Other

OtherInternational Conference on Biometrics, ICB 2006
CountryChina
CityHong Kong
Period1/5/061/7/06

Fingerprint

Face recognition
Indexing
Person
Genetic algorithms
Detector
Genetic Algorithm
Face
Detectors
Face Recognition
Feature Space
Gabor Wavelet
Principle Component Analysis
Query
Facial Recognition
Databases
Genetic Databases
Subspace Methods
Recognition Algorithm
Experiments
Methodology

ASJC Scopus subject areas

  • Computer Science(all)
  • Biochemistry, Genetics and Molecular Biology(all)
  • Theoretical Computer Science

Cite this

Krishna, S., Black, J., & Panchanathan, S. (2006). Using genetic algorithms to find person-specific Gabor feature detectors for face indexing and recognition. In Advances in Biometrics - International Conference, ICB 2006, Proceedings (Vol. 3832 LNCS, pp. 182-191). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 3832 LNCS).

Using genetic algorithms to find person-specific Gabor feature detectors for face indexing and recognition. / Krishna, Sreekar; Black, John; Panchanathan, Sethuraman.

Advances in Biometrics - International Conference, ICB 2006, Proceedings. Vol. 3832 LNCS 2006. p. 182-191 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 3832 LNCS).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Krishna, S, Black, J & Panchanathan, S 2006, Using genetic algorithms to find person-specific Gabor feature detectors for face indexing and recognition. in Advances in Biometrics - International Conference, ICB 2006, Proceedings. vol. 3832 LNCS, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 3832 LNCS, pp. 182-191, International Conference on Biometrics, ICB 2006, Hong Kong, China, 1/5/06.
Krishna S, Black J, Panchanathan S. Using genetic algorithms to find person-specific Gabor feature detectors for face indexing and recognition. In Advances in Biometrics - International Conference, ICB 2006, Proceedings. Vol. 3832 LNCS. 2006. p. 182-191. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).
Krishna, Sreekar ; Black, John ; Panchanathan, Sethuraman. / Using genetic algorithms to find person-specific Gabor feature detectors for face indexing and recognition. Advances in Biometrics - International Conference, ICB 2006, Proceedings. Vol. 3832 LNCS 2006. pp. 182-191 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).
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