Name
Abstract | ||
|---|---|---|
This paper describes a new automatic spelling correction program to deal with OCR generated errors. The method used here is based on three principles:1. Approximate string matching between the misspellings and the terms occuring in the database as opposed to the entire dictionary2. Local information obtained from the individual documents3. The use of a confusion matrix, which contains information inherently specific to the nature of errors caused by the particular OCR deviceThis system is then utilized to process approximately 10,000 pages of OCR generated documents. Among the misspellings discovered by this algorithm, about 87% were corrected. |
Year | DOI | Venue |
|---|---|---|
1995 | 10.1142/S0218001495000377 | INTERNATIONAL JOURNAL OF PATTERN RECOGNITION AND ARTIFICIAL INTELLIGENCE |
Keywords | Field | DocType |
optical character recognition, confusion matrix | Confusion matrix,Matrix calculus,Pattern recognition,Computer science,Image processing,Optical character recognition,Error detection and correction,Spelling,Approximate string matching,Artificial intelligence | Journal |
Volume | Issue | ISSN |
9 | 6 | 0218-0014 |
Citations | PageRank | References |
5 | 1.30 | 10 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Kazem Taghva | 1 | 350 | 43.51 |
| Julie Borsack | 2 | 208 | 22.53 |
| Bryan Bullard | 3 | 5 | 1.30 |
| Allen Condit | 4 | 210 | 22.95 |