Computer Vision
Real-Time Fingertip Tracking and Gesture Recognition
IEEE Computer Graphics and Applications
Dynamic Programming Optimisation for On-line Signature Verificatio
ICDAR '97 Proceedings of the 4th International Conference on Document Analysis and Recognition
FGR '02 Proceedings of the Fifth IEEE International Conference on Automatic Face and Gesture Recognition
Digital Image Processing (3rd Edition)
Digital Image Processing (3rd Edition)
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The purpose of this thesis is to develop a recognition system of handwriting letter. This system uses web camera as the input device, and discriminates the alphanumeric shape after detecting out the trajectory of handwriting. This research presents a new method of fingertip identification. In the method, the fingertip is found out by the characteristic that the position of fingertip is usually on the external frame of hand block, and the position of fingertip can be determined according to the established conditions in this thesis. The identification system of this article divides into two stages. The first stage is the fingertip trajectory record. In this stage, after video frames input the system, the image processing of each frame and the identification of hand position are proceeded, and then the position of fingertip is determined so that we can track and record the trajectory of fingertip. The second stage is the recognition of alphanumeric shape. In this stage, we do the front disposal of trajectory and then extract features of the trajectory for the recognition of alphanumeric shape. The outcome of the experiment shows that the system can track on the fingertip smoothly, and it also has high success rate on the identification of alphanumeric shape.