期刊名称：International Journal of Signal Processing, Image Processing and Pattern Recognition
印刷版ISSN：2005-4254
出版年度：2011
卷号：4
期号：4
出版社：SERSC
摘要：Gestures are the new silent language for controlling the human-made machines such as robotics, many recent researches toward enhancing this relation and obtaining good recognition rate were commenced, in this paper; we are trying to evaluate the performance of using multi block size for hand gesture and project this study in two cases which are the presence of edge detection operation in the preprocessing steps and the its absence. The recognition time we have achieved in case of the presence of edge detection method is 1.698 seconds and less than a second in case of none. Our suggested method includes the partitioning of the input gesture into different blocks and by using the block brightness measurement to strike the right gesture. Each gesture has been represented by a feature vector with many features controlled by the block size which in turn decides the speed and accuracy rate of the recognition. We also have modified the edge detection method in order to enhance the edges to obtain more refined and clear edges by applying a filling operation after segmentation and before edge operation. Our study also includes the application of different block sizes for generalization of the study and also can decide which block size can get good recognition rates.
关键词：Brightness Recognition; Gesture Recognition; Template Matching; Image;Segmentation; Laplacian Edge Detection; Segment Filling; RGB color band segmentation
