Adapting Viola-Jones Method for Online Hand / Glove Identification

  • Taib Shamsadin Abdulsamad Department of Computer, College of Basic Education, University of Raparin, Sulaymaniyah, Iraq; Department of Computer Science, College of Science and Technology, University of Human Development, Sulaymaniyah, Iraq http://orcid.org/0000-0001-9774-3721
  • Mahmud Abdulla Mohammad Department of Computer, College of Basic Education, University of Raparin, Sulaymaniyah, Iraq; Department of Information Technology, College of Science and Technology, University of Human Development, Sulaymaniyah, Iraq
  • Faraidoon Hassan Ahmad Department of Pharmacognosy & Pharmaceutical Chemistry, College of Pharmacy, University of Sulaimani, Sulaymaniyah, Iraq; Department of Information Technology, University College of Goizha, Sulaymaniyah, Iraq
Keywords: Computer Vision, Image Processing, Object Detection, Viola-Jones, Hand Detection, Identification.

Abstract

This article proposes a method for hand identification, adapting the method of Viola-Jones for identifying two different objects. The main objective of this work is to solve the problems of hand identification. Thus, our approach based on learning for two objects as one package. Also, the proposed method folds into three parts; the first part is training for both objects, second detection of both objects, and third the identification step to identify if the hand is wearing a glove or not, then labeling each one with a suitable state. Moreover, to test our method, we have proposed a new dataset, which includes a variety of cases with different compositions of hand. As a result, 8 cases were used to test the method. The method was able to detect a human hand successfully. Additionally, it could identify whether the hand was or was not wearhing a glove.  The accuracy of detecting a hand without a glove was about 63%, and the accuracy of detecting a hand with a glove on was about 61%. Even though the tests scored different accuracy, as a first step towards solving this problem, it is a big achievement to even reach this level of accuracy.

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Published
2021-06-30
How to Cite
Abdulsamad, T., Mohammad, M., & Ahmad, F. (2021, June 30). Adapting Viola-Jones Method for Online Hand / Glove Identification. UKH Journal of Science and Engineering, 5(1), 80-90. https://doi.org/https://doi.org/10.25079/ukhjse.v5n1y2021.pp80-90
Section
Research Articles
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