Optimization of the Performance Face Recognition Using AdaBoost-Based

Mohsen Faghani, Md. Jan Nordin, Shahed Shojaeipour

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

2 Citations (Scopus)

Abstract

In this paper, using the results of classifier composition is one of the methods of increasing efficiency of face recognition systems that many researchers paid attention to it in recent years. However AdaBoost algorithm is as one of the efficient boosting algorithm that has been used as to decrease the dimensions of characteristic space extracted from face recognition systems, it hasn't been used as classifier in face recognition systems. In this paper paid attention to how to use this algorithm in classifying face recognition systems. At first the methods evaluated of classifier composition. Then, the result is presented of several composition methods in comparison with singular classifying methods; therefore, database has correct recognition of 96.4% and improved the results of KNN method with PCA specification. AdaBoost method is used according to weak learning, as proposed classifier system with the aim of identification validate.

Original languageEnglish
Title of host publicationCommunications in Computer and Information Science
Pages359-365
Number of pages7
Volume135
EditionPART 2
DOIs
Publication statusPublished - 2011
Event2011 International Conference on Intelligent Computing and Information Science, ICICIS 2011 - Chongqing
Duration: 8 Jan 20119 Jan 2011

Publication series

NameCommunications in Computer and Information Science
NumberPART 2
Volume135
ISSN (Print)18650929

Other

Other2011 International Conference on Intelligent Computing and Information Science, ICICIS 2011
CityChongqing
Period8/1/119/1/11

Fingerprint

Adaptive boosting
Face recognition
Classifiers
Chemical analysis
Specifications

Keywords

  • AdaBoost
  • Classifier Composition
  • Face Recognition
  • LDA
  • PCA

ASJC Scopus subject areas

  • Computer Science(all)

Cite this

Faghani, M., Nordin, M. J., & Shojaeipour, S. (2011). Optimization of the Performance Face Recognition Using AdaBoost-Based. In Communications in Computer and Information Science (PART 2 ed., Vol. 135, pp. 359-365). (Communications in Computer and Information Science; Vol. 135, No. PART 2). https://doi.org/10.1007/978-3-642-18134-4_58

Optimization of the Performance Face Recognition Using AdaBoost-Based. / Faghani, Mohsen; Nordin, Md. Jan; Shojaeipour, Shahed.

Communications in Computer and Information Science. Vol. 135 PART 2. ed. 2011. p. 359-365 (Communications in Computer and Information Science; Vol. 135, No. PART 2).

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

Faghani, M, Nordin, MJ & Shojaeipour, S 2011, Optimization of the Performance Face Recognition Using AdaBoost-Based. in Communications in Computer and Information Science. PART 2 edn, vol. 135, Communications in Computer and Information Science, no. PART 2, vol. 135, pp. 359-365, 2011 International Conference on Intelligent Computing and Information Science, ICICIS 2011, Chongqing, 8/1/11. https://doi.org/10.1007/978-3-642-18134-4_58
Faghani M, Nordin MJ, Shojaeipour S. Optimization of the Performance Face Recognition Using AdaBoost-Based. In Communications in Computer and Information Science. PART 2 ed. Vol. 135. 2011. p. 359-365. (Communications in Computer and Information Science; PART 2). https://doi.org/10.1007/978-3-642-18134-4_58
Faghani, Mohsen ; Nordin, Md. Jan ; Shojaeipour, Shahed. / Optimization of the Performance Face Recognition Using AdaBoost-Based. Communications in Computer and Information Science. Vol. 135 PART 2. ed. 2011. pp. 359-365 (Communications in Computer and Information Science; PART 2).
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