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Hand Gesture Recognition by Walsh Transformation

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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Year of Publication: 2016
Authors:
Tanuja K. Sarode, Priyanka Agrawal, Gaurav Deshpande, Anjali Jogeshwar
10.5120/ijca2016908216

Tanuja K Sarode, Priyanka Agrawal, Gaurav Deshpande and Anjali Jogeshwar. Article: Hand Gesture Recognition by Walsh Transformation. International Journal of Computer Applications 133(15):30-35, January 2016. Published by Foundation of Computer Science (FCS), NY, USA. BibTeX

@article{key:article,
	author = {Tanuja K. Sarode and Priyanka Agrawal and Gaurav Deshpande and Anjali Jogeshwar},
	title = {Article: Hand Gesture Recognition by Walsh Transformation},
	journal = {International Journal of Computer Applications},
	year = {2016},
	volume = {133},
	number = {15},
	pages = {30-35},
	month = {January},
	note = {Published by Foundation of Computer Science (FCS), NY, USA}
}

Abstract

Modern day computers are shifting from pointer based devices to systems based on human actions and interaction methods. Thus, gesture and voice recognition forms an integral part of research. In gesture recognition, hand gestures of natural languages have a great potential in development of vision based hand interaction. The paper presents Hand Gesture Recognition method based on Walsh Transform and also presents its comparative study with other popular transforms DCT and Haar. The approach consists of three important phases 1) Image Pre-processing 2) Image Transformation 3) Image Recognition. Best accuracy was found to be 100per cent

References

  1. Jagdish Lal Raheja, Radhey Shyam, Umesh Kumar, P Bhanu Prasad, “ Real-Time Robotic Hand Control using Hand gestures” proceeding of International Conference on Machine Learning and Computing (ICMLC) of IEEE, pp.12-16, Feb 2010.
  2. Yuehai Wang, JianfeiLi “Entertainment Robot Hand Gesture Recognition” proceeding of International Conference on Database Technology and applications (DBTA), pp. 27-28, Nov. 2010.
  3. Yikai Fang , Kongqiao Wang ,Jian cheng,Hanqing Lu “A Real-Time Hand Gesture recognition Method” Proceeding of International conference on Multimedia and Expo. IEEE pp.995-998, July 2007.
  4. H. B. Kekre, Tanuja Sarode, Meena Ugale, “Performance Comparison of Image Classifier Using Discrete Cosine Transform and Walsh Transform” Proceeding of 2nd International Conference and workshop on Emerging Trends in Technology (ICWET) 2011.
  5. H. B. Kekre, Sudeep D. Thepade and Akshay Maloo “Performance Comparison of Image Retrieval Using Fractional Coefficients of Transformed Image Using DCT, Walsh, Haar and Kekre’s transform” Proceeding of International Journal of Image Processing (IJIP) .
  6. Tanuja Sarode, Vaishali D. Sakhpal, “PerformanceComparison of Transforms Using Row Mean and Column Mean for Hand Gesture Recogniton” Proceeding International Journal of Computer Applications pp.0975-8887, September 2013.
  7. H.B. Kekre, Tanuja Sarode, Pratik Bhatia, Sandhya Nayak, Dhreej Nagpal, “Iris recognition using Partial Coefficients by applying Discrete Cosine Transform”, International Journal of Computer Applications(IJCA), vol 32, No. 6 October, 2011.
  8. H.B. Kekre, Sudeep Thepade, Juhi Jain, Naman Agrawal, “IRIS Recognition using Texture Features Extracted from Haarlet Pyramid”, International Journal of Computer Applications(IJCA), vol 11, No. 12 December, 2010.
  9. H.B. Kekre, Tanuja Sarode, Sudeep Thepade,Sonal Shroff “Instigation of Orthogonal Wavelet Transforms using Walsh, Cosine, Hartley, Kekre Transforms and their use in Image Compression”, International Journal of Computer Science and Information Security(IJCSIS), vol 9, No. 6, 2011.
  10. Thomas Moeslund's Gesture Recognition database http://www-Prima.inrialpes.fr/FGnet/data/12-Moeslund Gesture / database.html.

Keywords

Hand Gesture Recognition, Walsh Transform,