Title :
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
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;
Conference_Titel :
Document Analysis and Recognition, 1997., Proceedings of the Fourth International Conference on
Conference_Location :
Ulm
Print_ISBN :
0-8186-7898-4
DOI :
10.1109/ICDAR.1997.620633
