This paper presents a special symbol recognition system that incorporates the result of an OCR to recognize the special symbols those not handled by the current commercial OCR systems. Given a document image and the OCR output, we first refine the character coordinates produced by the OCR. Then, the special symbols are distinguished from the normal characters. Finally, we compute the features f...

In this paper, an OCR post-processing method that combines a language model, OCR hypothesis information and an error model is proposed. The approach can be seen as a flexible and efficient way to perform Stochastic Error-Correcting Language Modeling. We use Weighted Finite-State Transducers (WFSTs) to represent the language model, the complete set of OCR hypotheses interpreted as a sequence of ...

The computer plays vital role in all industries. The dependence on computers keeps on increasing every day. The digitization of information transfer between machine and men helps to make the paper-free society. The Optical Character Recognition (OCR) and its applications help us to make the digital world. In this paper, we review the various OCR approaches for recognizing the characters from di...