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首页> 外文会议>2017 International Conference on Inventive Computing and Informatics >Hand gesture recognition using shape and texture evidences in complex background
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Hand gesture recognition using shape and texture evidences in complex background

机译：在复杂背景下使用形状和纹理证据进行手势识别

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摘要

Hand Gesture recognition system is a process involving classifying the given gesture of the hand portion. This paper presents a technique for the recognition of hand gesture from the 11 different static gestures taken from NUS hand posture dataset. Hand gesture detection in the complex background is seen as a challenging task. The purpose of this paper is to study and develop a method for the efficient detection and classification of hand gestures in the complex background. Skin similarity measure is used to detect the hand in complex background hand gesture image. The whole of the image is divided into two classes one is hand, and other is background. Subsequently, shape and texture features are extracted from the gestures which form the basis of recognition of the hand gesture.
机译：手势识别系统是涉及对手部的给定手势进行分类的过程。本文提出了一种从NUS手势数据集中获取的11种不同静态手势中识别手势的技术。复杂背景下的手势检测被视为一项艰巨的任务。本文的目的是研究和开发一种在复杂背景下有效检测和分类手势的方法。皮肤相似性度量用于检测复杂背景手势图像中的手。整个图像分为两类，一类是手，另一类是背景。随后，从手势中提取形状和纹理特征，这形成了手势识别的基础。

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