Optical character recognition: A comprehensive study of hybrid methods
Abhishek A. Sharma, Madhavi H. Sane, Sanjay T. Gandhe · International Journal of Knowledge-based and Intelligent Engineering Systems · 2011
The problem of Optical Character Recognition (OCR) is methodically treated in this paper. The paper discusses some traditional methods like template matching and neural networks that are employed by the more advanced and artificially intelligent systems. Though K-PCA, a non-intelligent system, prov ides better accuracy, it was found to occur at the cost of more processing time. Neural Networks provide a trade-off between processing time and accuracy.