Feature extraction system for age estimation

Hironobu Fukai, Hironori Takimoto, Yasue Mitsukura, Minoru Fukumi

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

Abstract

In this paper, we propose the novel age estimation system with the real-coded genetic algorithm (RGA) and the neural network (NN). The age is one of important information in our living. There are a lot of studies on age estimation by the computer. However, the conventional method of the age estimation, the most of them are the studies intended for an actual age. Therefore, we pay attention to the mechanism of human age perception. The apparent age feature is extracted by the fourier transform, and the important spectrum for the age perception are selected by the RGA. The age is estimated by the 3 layered NN. It is considered that it can extract important age feature using the RGA and it can analyze the important feature area. In addition, proposed method extracts the age feature at each age. In order to show the effectiveness of the proposed method, we show the simulation examples. From the simulation results, we can confirm that the proposed method works well.

Original languageEnglish
Title of host publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Pages458-465
Number of pages8
Volume5178 LNAI
EditionPART 2
DOIs
Publication statusPublished - 2008
Externally publishedYes
Event12th International Conference on Knowledge-Based Intelligent Information and Engineering Systems, KES 2008 - Zagreb, Croatia
Duration: 2008 Sep 32008 Sep 5

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
NumberPART 2
Volume5178 LNAI
ISSN (Print)03029743
ISSN (Electronic)16113349

Other

Other12th International Conference on Knowledge-Based Intelligent Information and Engineering Systems, KES 2008
CountryCroatia
CityZagreb
Period08/9/308/9/5

Fingerprint

Feature Extraction
Feature extraction
Genetic algorithms
Neural networks
Real-coded Genetic Algorithm
Fourier transforms
Neural Networks
Addition method
Fourier transform
Simulation

Keywords

  • Age estimation
  • Neural network (NN)
  • Real-coded genetic algorithm(RGA)

ASJC Scopus subject areas

  • Computer Science(all)
  • Theoretical Computer Science

Cite this

Fukai, H., Takimoto, H., Mitsukura, Y., & Fukumi, M. (2008). Feature extraction system for age estimation. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (PART 2 ed., Vol. 5178 LNAI, pp. 458-465). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 5178 LNAI, No. PART 2). https://doi.org/10.1007/978-3-540-85565-1-57

Feature extraction system for age estimation. / Fukai, Hironobu; Takimoto, Hironori; Mitsukura, Yasue; Fukumi, Minoru.

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 5178 LNAI PART 2. ed. 2008. p. 458-465 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 5178 LNAI, No. PART 2).

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

Fukai, H, Takimoto, H, Mitsukura, Y & Fukumi, M 2008, Feature extraction system for age estimation. in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). PART 2 edn, vol. 5178 LNAI, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), no. PART 2, vol. 5178 LNAI, pp. 458-465, 12th International Conference on Knowledge-Based Intelligent Information and Engineering Systems, KES 2008, Zagreb, Croatia, 08/9/3. https://doi.org/10.1007/978-3-540-85565-1-57
Fukai H, Takimoto H, Mitsukura Y, Fukumi M. Feature extraction system for age estimation. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). PART 2 ed. Vol. 5178 LNAI. 2008. p. 458-465. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); PART 2). https://doi.org/10.1007/978-3-540-85565-1-57
Fukai, Hironobu ; Takimoto, Hironori ; Mitsukura, Yasue ; Fukumi, Minoru. / Feature extraction system for age estimation. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 5178 LNAI PART 2. ed. 2008. pp. 458-465 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); PART 2).
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