Recursive handwriting recognition using epistemic utility theory

Jaehwa Park; Venu Govindaraju

Recursive handwriting recognition using epistemic utility theory

Jaehwa Park
, Venu Govindaraju

Research and Economic Development

SUNY Buffalo

Research output: Contribution to journal › Conference article › peer-review

Abstract

In most handwriting recognition systems, the processing steps of segmentation, recognition, decision making and postprocessing are serially taken. These systems usually use the resources exhaustively in each stage of the serial engine. Every stage is tuned to maximize global performance. However, such a paradigm is prone to miss the global optimal point because the individual stages often do not have all the information available. A more interactive model is desirable. In this paper we describe such a model extending the concepts of satisficing decision mechanisms. Our experiments show proof of validity of the proposed model.

Original language	English
Pages (from-to)	VI-885 - VI-889
Journal	Proceedings of the IEEE International Conference on Systems, Man and Cybernetics
Volume	6
State	Published - 1999
Event	1999 IEEE International Conference on Systems, Man, and Cybernetics 'Human Communication and Cybernetics' - Tokyo, Jpn Duration: Oct 12 1999 → Oct 15 1999

Cite this

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title = "Recursive handwriting recognition using epistemic utility theory",

abstract = "In most handwriting recognition systems, the processing steps of segmentation, recognition, decision making and postprocessing are serially taken. These systems usually use the resources exhaustively in each stage of the serial engine. Every stage is tuned to maximize global performance. However, such a paradigm is prone to miss the global optimal point because the individual stages often do not have all the information available. A more interactive model is desirable. In this paper we describe such a model extending the concepts of satisficing decision mechanisms. Our experiments show proof of validity of the proposed model.",

author = "Jaehwa Park and Venu Govindaraju",

year = "1999",

language = "English",

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issn = "0884-3627",

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note = "1999 IEEE International Conference on Systems, Man, and Cybernetics 'Human Communication and Cybernetics' ; Conference date: 12-10-1999 Through 15-10-1999",

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AU - Park, Jaehwa

AU - Govindaraju, Venu

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N2 - In most handwriting recognition systems, the processing steps of segmentation, recognition, decision making and postprocessing are serially taken. These systems usually use the resources exhaustively in each stage of the serial engine. Every stage is tuned to maximize global performance. However, such a paradigm is prone to miss the global optimal point because the individual stages often do not have all the information available. A more interactive model is desirable. In this paper we describe such a model extending the concepts of satisficing decision mechanisms. Our experiments show proof of validity of the proposed model.

AB - In most handwriting recognition systems, the processing steps of segmentation, recognition, decision making and postprocessing are serially taken. These systems usually use the resources exhaustively in each stage of the serial engine. Every stage is tuned to maximize global performance. However, such a paradigm is prone to miss the global optimal point because the individual stages often do not have all the information available. A more interactive model is desirable. In this paper we describe such a model extending the concepts of satisficing decision mechanisms. Our experiments show proof of validity of the proposed model.

UR - https://www.scopus.com/pages/publications/0033308202

M3 - Conference article

AN - SCOPUS:0033308202

SN - 0884-3627

VL - 6

SP - VI-885 - VI-889

JO - Proceedings of the IEEE International Conference on Systems, Man and Cybernetics

JF - Proceedings of the IEEE International Conference on Systems, Man and Cybernetics

T2 - 1999 IEEE International Conference on Systems, Man, and Cybernetics 'Human Communication and Cybernetics'

Y2 - 12 October 1999 through 15 October 1999

ER -

Recursive handwriting recognition using epistemic utility theory

Abstract

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