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Hand Gesture Recognition Based on Fingertip Detection

Published: 03 December 2013 Publication History

Abstract

To improve the hand gesture recognition accuracy based on Hu moment features, a new recognition algorithm was developed based on the fingertip structure detection. Firstly, the geometric features, the areas of skin region and the image, were designed to segment the skin region from the background in space of hue, saturation and value of brightness. Secondly, the cam point inspections were carried out and the fingertip was detected after the contour approximation. After that, the 7-dimensional feature vector was built. Finally, the distance marching criterion was utilized to recognize the hand gesture. Compared with the Hu moment feature recognition, the developed recognition algorithm improved the recognition accuracy by 2.7%.

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  • (2019)A Gesture Interaction System Based on Improved Finger Feature and WE-KNNProceedings of the 2019 4th International Conference on Mathematics and Artificial Intelligence10.1145/3325730.3325759(39-43)Online publication date: 12-Apr-2019
  1. Hand Gesture Recognition Based on Fingertip Detection

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    Information & Contributors

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    Published In

    cover image Guide Proceedings
    GCIS '13: Proceedings of the 2013 Fourth Global Congress on Intelligent Systems
    December 2013
    288 pages
    ISBN:9781479928866

    Publisher

    IEEE Computer Society

    United States

    Publication History

    Published: 03 December 2013

    Author Tags

    1. Color segmentation
    2. Contour approximation
    3. Fingertip detection
    4. geometric feature
    5. gesture recognition

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    • (2019)A Gesture Interaction System Based on Improved Finger Feature and WE-KNNProceedings of the 2019 4th International Conference on Mathematics and Artificial Intelligence10.1145/3325730.3325759(39-43)Online publication date: 12-Apr-2019

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