Classification and distribution of optical character recognition errors

Jeffrey Esakov; Daniel P. Lopresti; Jonathan S. Sandberg

doi:10.1117/12.171108

23 March 1994 Classification and distribution of optical character recognition errors

Jeffrey Esakov, Daniel P. Lopresti, Jonathan S. Sandberg

Proceedings Volume 2181, Document Recognition; (1994) https://doi.org/10.1117/12.171108
Event: IS&T/SPIE 1994 International Symposium on Electronic Imaging: Science and Technology, 1994, San Jose, CA, United States

Abstract

This paper describes an approach for classifying OCR errors based on a new variation of a well-known dynamic programming algorithm. We present results from a large-scale experiment we performed involving the printing, scanning, and OCRing of over one million characters in each of three fonts. Times, Helvetica, and Courier. Our data allows us to draw a number of interesting conclusions about the nature of OCR errors for a particular font, as well as the relationship between error sets for different fonts.

Citation Download Citation

Jeffrey Esakov, Daniel P. Lopresti, and Jonathan S. Sandberg "Classification and distribution of optical character recognition errors", Proc. SPIE 2181, Document Recognition, (23 March 1994); https://doi.org/10.1117/12.171108

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available