Moby Dick meets GEOCR: lexical considerations in word recognition

Author

Spitz, A. Lawrence

Author_Institution

Daimler Benz Res. & Technol. Center, Palo Alto, CA, USA

Volume

1

fYear

1997

fDate

18-20 Aug 1997

Firstpage

221

Abstract

The author has previously (Proc. Int. Conf. on Doc. Anal. and Recognition, Montreal, pp. 723-728, 1995) described a high-speed, lexically driven OCR called GEOCR (Good Enough Optical Character Recognition). This paper expands on that work by describing the effects of lexical content, structure and processing on the performance of GEOCR as a word recognition engine, describing the recognition of a particular text, Moby Dick. Word recognition performance is shown to be enhanced by the application of an appropriate lexicon. Recognition speed is essentially independent of the details of lexical content, provided that the intersection of the occurrences of words in the document and the lexicon is high. Word recognition accuracy is dependent on both the intersection and specificity of the lexicon

Keywords

linguistics; optical character recognition; GEOCR; Moby Dick; high-speed lexically driven OCR; lexical content; lexical processing; lexical structure; lexicon specificity; recognition speed; word occurrence intersection; word recognition accuracy; word recognition engine; word recognition performance; Character recognition; Dictionaries; Engines; Frequency; Laboratories; Milling machines; Optical character recognition software; Paper technology; Shape; Text recognition;

fLanguage

English

Publisher

ieee

Conference_Titel

Document Analysis and Recognition, 1997., Proceedings of the Fourth International Conference on

Conference_Location

Ulm

Print_ISBN

0-8186-7898-4

Type

conf

DOI

10.1109/ICDAR.1997.619845

Filename

619845