计算机工程与应用Issue(3)：66-68,142,4.DOI:10.3778/j.issn.1002-8331.1303-0475
基于手势识别的文字输入系统
Text input system based on gesture recognition
摘要
Abstract
Vision-based gesture recognition is a key technique to achieve a new generation of human-computer interaction. As few text input search system by gesture recognition is developed, based on the existing gesture recognition techniques, this paper uses the gestures which are corresponding to the Chinese letters and numbers as input gesture and uses Microsoft kinect to obtain depth image to conduct hand gesture segmentation. The edge of the gesture is extracted by Canny algorithm, and then the feature is extracted based on wavelet moment. The gesture letters are obtained. It achieves the text input system based on gesture recognition. Experiments show that the system is able to achieve Chinese characters accurately and effectively.关键词
Canny算法/手势识别/小波矩/文字输入系统Key words
Canny algorithm/gesture recognition/moment compare/text input system分类
信息技术与安全科学引用本文复制引用
陈昆伟,郭星,吴建国..基于手势识别的文字输入系统[J].计算机工程与应用,2015,(3):66-68,142,4.基金项目
安徽省自然科学基金青年基金项目（No.11040606Q07）；高校省级重点自然科学研究项目（No.kj2010A023）；安徽大学青年科学研究基金（No.2009QN0019B）；安徽大学青年骨干教师培养对象经费资助。 （）
