High-performance reading machines

Author

Srihari, Sargur N.

Author_Institution

Center of Excellence for Document Anal. & Recognition, State Univ. of New York, Buffalo, NY, USA

Volume

80

Issue

7

fYear

1992

fDate

7/1/1992 12:00:00 AM

Firstpage

1120

Lastpage

1132

Abstract

The architecture of a reading machine designed to achieve a high rate of correct interpretation of text as well as high speed in performing the interpretation is described. The refinement of the architecture for a specialized reading machine, to find and interpret addresses on a stream of postal letters, is also described. The addresses can be either machine-printed or handwritten. The primary subtasks correspond to finding the block of text corresponding to the destination address, recognizing characters and words within the address, and interpreting the text using postal directories. The need for multiple algorithms and multiple scales for recognition (holistic and analytic) and for methods for combining results of multiple algorithms, the efficacy of artificial neural nets and fuzzy matching, and the feasibility of reading unconstrained handwritten words when there exist accompanying numeric fields that limit word choices are shown

Keywords

fuzzy set theory; neural nets; optical character recognition; OCR; artificial neural nets; destination address; fuzzy matching; multiple algorithms; multiple scales; numeric fields; postal directories; postal letters; reading machine; unconstrained handwritten words; Algorithm design and analysis; Artificial intelligence; Artificial neural networks; Character recognition; Fuzzy neural networks; Handwriting recognition; Humans; Postal services; Text analysis; Text recognition;

fLanguage

English

Journal_Title

Proceedings of the IEEE

Publisher

ieee

ISSN

0018-9219

Type

jour

DOI

10.1109/5.156474

Filename

156474