模式识别和手势识别是近年来研究的热点。手势作为非言语交际的重要组成部分，在我们的日常生活中起着至关重要的作用。手势识别系统为我们提供了一种创新的、自然的、用户友好的与计算机交互的方式，这种方式更为人们所熟悉。其主要步骤如下：图像分割、方向检测、特征提取、拇指检测、手指区域检测、欧氏距离、分类和位生成
Pattern recognition and Gesture recognition are the growing fields of research. Being a significant part in non verbal communication hand gestures are playing vital role in our daily life. Hand Gesture recognition system provides us an innovative, natural, user friendly way of interaction with the computer which is more familiar to the human beings. Its main steps are discussed in the following: Image Segmentation Orientation Detection Features extraction Thumb detection: Finger region detection: Euclidean distance: Classification and bits generation
资源文件列表
dsp project/00111.jpg , 36256
dsp project/01001.jpg , 52179
dsp project/01011.jpg , 33935
dsp project/01111.jpg , 85826
dsp project/10001.jpg , 23800
dsp project/10111.jpg , 31722
dsp project/11000.jpg , 20900
dsp project/11100.jpg , 34622
dsp project/11111.jpg , 39438
dsp project/Hand Gesture Recognition based on Shape Parameters.pdf , 340729
dsp project/horizon.jpg , 85212
dsp project/shape recognition.pptx , 1547427
dsp project/test.m , 8183