Classification and Recognition Algorithm of Alphabet Gesture Based on Shape Feature
Linquan Wang · Jisuanji gongcheng · 2004
This paper presents a classification and recognition algorithm based on shape feature. Gross classification is carried out according to the direction and number of the finger in the gesture. Sequentially, template matching is applied to implement the fine classification based on the similarity after the shape feature vectors of the gesture are extracted from the boundary image and binary image. The experiment result proves that the gross classification based on shape feature can remove the improper gestures, reduce the matching time and improve the recognition rate.