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Hand Skin Classification from Other Skin Objects Using Multi-direction 3D Color-Texture Feature and Cascaded Neural Network Classifier

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Proceedings of International Conference on ICT for Sustainable Development

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 409))

Abstract

Hand Segmentation from skin color objects is an open problem in number of applications including hand gesture recognition, classification of hand gestures when other skin color objects like wrist, face, arm, and background are also exposed to camera. A novel approach in this direction is proposed in which multi-direction three-dimensional (3D) color-texture feature (CTF) are extracted and then classification of hand skin is done using neural network cascade classifier. It results 95 % true detection on a standard NUS hand gesture database consisting of variety of skin colors.

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Author information

Authors and Affiliations

  1. Computer Science and Engineering Department, ABES Engineering College, Ghaziabad, India

    Sonal Gupta & Munesh C. Trivedi

  2. IIMT College of Engineering, Greater Noida, India

    Suraj kamya

Authors
  1. Sonal Gupta
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  2. Munesh C. Trivedi
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  3. Suraj kamya
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Corresponding author

Correspondence to Sonal Gupta .

Editor information

Editors and Affiliations

  1. Dept of Comp. Sci. & Engg, Anil Neerukonda Inst of Tech and Science, Visakhapatnam, India

    Suresh Chandra Satapathy

  2. Sabarkantha, Sabar Institute of Technology, Sabarkantha, Gujarat, India

    Amit Joshi

  3. Narsinhbhai Inst of Comp Studies & Mgmt, Gandhinagar, Gujarat, India

    Nilesh Modi

  4. Narsinhbhai Inst of Comp Studies & Mgmt, Gandhinagar, India

    Nisarg Pathak

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© 2016 Springer Science+Business Media Singapore

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Gupta, S., Trivedi, M.C., kamya, S. (2016). Hand Skin Classification from Other Skin Objects Using Multi-direction 3D Color-Texture Feature and Cascaded Neural Network Classifier. In: Satapathy, S., Joshi, A., Modi, N., Pathak, N. (eds) Proceedings of International Conference on ICT for Sustainable Development. Advances in Intelligent Systems and Computing, vol 409. Springer, Singapore. https://doi.org/10.1007/978-981-10-0135-2_51

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  • DOI: https://doi.org/10.1007/978-981-10-0135-2_51

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-0133-8

  • Online ISBN: 978-981-10-0135-2

  • eBook Packages: EngineeringEngineering (R0)

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