ASL characters recognition using person specific subspace method

Authors

  • Md Hasanuzzaman Department of Computer Science and Engineering University of Dhaka, Dhaka
  • SM Tareeq Department of Computer Science and Engineering University of Dhaka, Dhaka
  • MA Bhuiyan Department of Electronics and Computer Science Jahangirnagar University, Savar, Dhaka
  • Y Shirai Department of Human and Computer Intelligence, School of Information Science and Engineering, Ritsumeikan University
  • H Ueno Department of Informatics, National Institute of Informatics, Tokyo

DOI:

https://doi.org/10.3329/diujst.v4i2.4366

Keywords:

ASL character, Face recognition, PCA, Person-specific subspace method

Abstract

This paper presents a person-specific subspace method for ASL characters recognition. To implement this person specific subspace method for ASL characters recognition the system first recognizes the faces and then uses skin-color segmentation method for hand poses segmentation. From the segmented hand poses the system recognizes ASL characters using both PCA and person-specific subspace method separately. Experiment result shows that the classification accuracy of person-specific subspace method is better than general PCA method. The experiment result also shows that person-specific subspace method is faster than general PCA method.

Key Words: ASL character, Face recognition, PCA, Person-specific subspace method

DOI: 10.3329/diujst.v4i2.4366

Daffodil International University Journal of Science and Technology Vol.4(2) 2009 pp.39-52

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How to Cite

Hasanuzzaman, M., Tareeq, S., Bhuiyan, M., Shirai, Y., & Ueno, H. (2010). ASL characters recognition using person specific subspace method. Daffodil International University Journal of Science and Technology, 4(2), 39–52. https://doi.org/10.3329/diujst.v4i2.4366

Issue

Vol. 4 No. 2 (2009)

Section

Papers

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