An Automatic Method for Enhancing Character Recognition in Degraded Historical Documents

Author

Silva, Gabriel Pereira e ; Lins, Rafael Dueire

Author_Institution

DES, UFPE, Recife, Brazil

fYear

2011

fDate

18-21 Sept. 2011

Firstpage

553

Lastpage

557

Abstract

Automatic optical character recognition is an important research area in document processing. There are several commercial tools for such purpose, which are becoming more efficient every day. There is still a lot to be improved, in the case of historical documents, however, due to the presence of noise and degradation. This paper presents a new approach for enhancing the character recognition in degraded historical documents. The system proposed consists in identifying regions in which there is information loss due to physical document degradation and process the document with possible candidates for the correct text transcription.

Keywords

document image processing; optical character recognition; automatic optical character recognition; character recognition enhancement; degraded historical documents; document processing; physical document degradation; text transcription; Character recognition; Feature extraction; Handwriting recognition; Interference; Noise; Optical character recognition software; OCR; character recognition; historical documents; physical noises;

fLanguage

English

Publisher

ieee

Conference_Titel

Document Analysis and Recognition (ICDAR), 2011 International Conference on

Conference_Location

Beijing

ISSN

1520-5363

Print_ISBN

978-1-4577-1350-7

Electronic_ISBN

1520-5363

Type

conf

DOI

10.1109/ICDAR.2011.117

Filename

6065372