Text data extraction from microfilm images of punched cards

Author

Kumar, Sudha U. ; Kasturi, Rangachar

Author_Institution

Dept. of Electr. & Comput. Eng., Pennsylvania State Univ., University Park, PA, USA

fYear

1992

fDate

30 Aug-3 Sep 1992

Firstpage

230

Lastpage

233

Abstract

A system for reading text data from microfilm images of punched cards is described. The input is a high resolution gray level image obtained by scanning the card image from the microfilm. Noise due to the poor quality of microfilm data and similarity in gray levels of noise patches and punches are the major problems for text extraction. Thresholding, skew correction and morphological operations are performed on the input gray level image. Card parameters such as positions of punches, etc., are calculated and used along with the knowledge about the contents of the card to separate punched holes from other artifacts. Text data are recognized by locating the punched holes and errors are corrected by a context-based approach. The algorithm has been implemented in software and tested on several images

Keywords

document image processing; microforms; optical character recognition; OCR; context based text recognition; document processing; gray level image; image scanners; microfilm images; morphological operations; punched cards; skew correction; text extraction; thresholding; Data mining; Data preprocessing; History; Image analysis; Image resolution; Military computing; Noise level; Pixel; Software systems; Text recognition;

fLanguage

English

Publisher

ieee

Conference_Titel

Pattern Recognition, 1992. Vol.II. Conference B: Pattern Recognition Methodology and Systems, Proceedings., 11th IAPR International Conference on

Conference_Location

The Hague

Print_ISBN

0-8186-2915-0

Type

conf

DOI

10.1109/ICPR.1992.201761

Filename

201761