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Evaluation of an Intelligent Character Recognition System

Bostain, David R.; Reid-Green, Keith S.
Publication Year:
Report Number:
ETS Research Memorandum
Document Type:
Page Count:
Subject/Key Words:
Financial Aid Forms, Intelligent Character Recognition, Scanning


Intelligent Character Recognition has been frequently suggested at ETS as a means to read handwritten numeric digits for processing Financial Aid Forms and other documents as a substitute for key entry. Since it is not likely that all digits will be intelligible, a character recognizer usually converts the numbers it can recognize and passes unrecognizable numbers to human operators for interpretation and keying. Presented in this paper is an evaluation of a commercially available neural net recognizer and its effectiveness in processing data collected in the late stages of the 1991-92 Financial Aid cycle.

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