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

Content Provider	IEEE Xplore Digital Library
Author	Sakoda, B. Zhou, J. Pavlidis, T.
Copyright Year	1993
Description	Author affiliation: Image Analysis Lab., State Univ. of New York, Stony Brook, NY, USA (Sakoda, B.; Zhou, J.; Pavlidis, T.)
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.<>
Starting Page	464
Ending Page	469
File Size	578855
Page Count	6
File Format	PDF
ISBN	0818649607
DOI	10.1109/ICDAR.1993.395694
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1993-10-20
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	System testing Character recognition Degradation Text recognition Printing Gray-scale Performance analysis Encoding Shape Postal services
Content Type	Text
Resource Type	Article

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