EURASIP Journal on Advances in Signal Processing - Special issue on advanced image processing for defense and security applications
| Hi-index | 0.00 |
Optical character recognition (OCR) might be the most plausible method in building database out of printed documents. This paper describes the points to be considered when one selects an OCR system in order to build database. Based on our experiments on four commercial OCR systems, we chose one that shows the highest recognition rate to build OCR-text database. The character recognition rate marks 90.5 % over 970 abstracts of conference proceedings in Korean. This recognition rate is still insufficient for practical use.For practical use of the OCR texts which has approximately 10 % of character-level errors, we need to investigate if an automatic indexing generates acceptable retrieval performance. In addition, it is necessary to evaluate which indexing method results in better performance. Experimental results show that 2-gram indexing provides similar retrieval efficiency to morpheme-based indexing for the Korean OCR text database. In addition, the retrieved results of the indexed OCR texts are similar to those selected by experts.