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

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

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

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

Research and Economic Development

SUNY Buffalo

Research output: Contribution to conference › Paper › peer-review

5 Scopus citations

Abstract

In this paper, we 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.

Original language	English
Pages	855-859
Number of pages	5
State	Published - 1997
Event	Proceedings of the 1997 4th International Conference on Document Analysis and Recognition, ICDAR. Part 2 (of 2) - Ulm, Ger Duration: Aug 18 1997 → Aug 20 1997

Conference

Conference	Proceedings of the 1997 4th International Conference on Document Analysis and Recognition, ICDAR. Part 2 (of 2)
City	Ulm, Ger
Period	08/18/97 → 08/20/97

Cite this

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title = "HOVER system for rapid holistic verification of off-line handwritten phrases",

abstract = "In this paper, we 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.",

author = "S. Madhvanath and E. Kleinberg and V. Govindaraju and Srihari, \{S. N.\}",

year = "1997",

language = "English",

pages = "855--859",

note = "Proceedings of the 1997 4th International Conference on Document Analysis and Recognition, ICDAR. Part 2 (of 2) ; Conference date: 18-08-1997 Through 20-08-1997",

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TY - CONF

T1 - HOVER system for rapid holistic verification of off-line handwritten phrases

AU - Madhvanath, S.

AU - Kleinberg, E.

AU - Govindaraju, V.

AU - Srihari, S. N.

PY - 1997

Y1 - 1997

N2 - In this paper, we 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.

AB - In this paper, we 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.

UR - https://www.scopus.com/pages/publications/0030650179

M3 - Paper

AN - SCOPUS:0030650179

SP - 855

EP - 859

T2 - Proceedings of the 1997 4th International Conference on Document Analysis and Recognition, ICDAR. Part 2 (of 2)

Y2 - 18 August 1997 through 20 August 1997

ER -

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

Abstract

Conference

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