The HOVER system for rapid holistic verification of off-line handwritten phrases

Author

Madhvanath, S. ; Kleinberg, E. ; Govindaraju, V. ; Srihari, S.N.

Author_Institution

Dept. of Comput. Sci., State Univ. of New York, Buffalo, NY, USA

Volume

2

fYear

1997

fDate

18-20 Aug 1997

Firstpage

855

Abstract

The authors describe ongoing research on a system for rapid verification of unconstrained off-line handwritten phrases using perceptual holistic features of the handwritten phrase image. The system is used to verify handwritten street names automatically extracted from live US mail against recognition results of analytical classifiers. The system rejects errors with 98% accuracy at the 30% accept level, while consuming approximately 20 msec per image on the average on a 150 MHz SPARC 10

Keywords

image recognition; postal services; 150 MHz; HOVER system; SPARC 10; analytical classifiers; error rejection; handwritten phrase image; handwritten street name verification; live US mail; perceptual holistic features; rapid holistic verification; unconstrained off-line handwritten phrases; Computer science; Control systems; Handwriting recognition; Image analysis; Image processing; Image recognition; Postal services; Real time systems; Shape control; Text analysis;

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.1997.620633

Filename

620633