Refinement and testing of a character recognition system based on feature extraction in grayscale space

Author

Sakoda, Bill ; Zhou, Jiangying ; Pavlidis, Theo

Author_Institution

Image Analysis Lab., State Univ. of New York, Stony Brook, NY, USA

fYear

1993

fDate

20-22 Oct 1993

Firstpage

464

Lastpage

469

Abstract

A method for recognizing degraded text is described. One application domain is postal address blocks, where the system must function with varying and unspecified fonts, dot matrix printing, and poor print quality. The design achieves tolerance to differing contrast and degraded print via gray-scale analysis, and omnifont capability and good performance on touching and broken characters by encoding character shapes as graphs. Experimental results on address blocks supplied by the US Postal Service are presented. Experiments on subsampling the data indicate that the performance at 100 dpi is very close to that of the original 300 dpi

Keywords

character recognition; feature extraction; postal services; word processing; US Postal Service; application domain; character recognition system; character shapes; degraded text; dot matrix printing; feature extraction; gray-scale analysis; grayscale space; omnifont capability; poor print quality; postal address blocks; Character recognition; Degradation; Encoding; Gray-scale; Performance analysis; Postal services; Printing; Shape; System testing; Text recognition;

fLanguage

English

Publisher

ieee

Conference_Titel

Document Analysis and Recognition, 1993., Proceedings of the Second International Conference on

Conference_Location

Tsukuba Science City

Print_ISBN

0-8186-4960-7

Type

conf

DOI

10.1109/ICDAR.1993.395694

Filename

395694