Shape detection using gradient features for handwritten character recognition

In this paper the author describes a new method, called string distance measurement (SDM), for recognizing handwritten characters. The advantage of this technique is that it can be applied in a generic manner to different applications which involve shape recognition and may be successfully modified for individual applications. The technique is based on the measurement of gradient change. The technique is expected to perform better in uncertain and noisy environments compared to the existing methods. The paper describes the technique, and estimates the performance rates through a cross-validation study with neural networks using SDM pattern recognition