Structuring Search Space for Accelerating Large Set Character Recognition(Search Space for Character Recognition, <Special Section>Document Image Understanding and Digital Documents)

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概要

• 論文の詳細を見る

• This paper proposes a "structuring search space" (SSS) method aimed to accelerate recognition of large character sets. We divide the feature space of character categories into smaller clusters and derive the centroid of each cluster as a pivot. Given an input pattern, it is compared with all the pivots and only a limited number of clusters whose pivots have higher similarity (or smaller distance) to the input pattern are searched in, thus accelerating the recognition speed. This is based on the assumption that the search space is a distance space. We also consider two ways of candidate selection and finally combine them the method has been applied to a practical off-line Japanese character recognizer with the result that the coarse classification time is reduced to 56% and the whole recognition time is reduced to 52% while keeping its recognition rate as the original.

• 社団法人電子情報通信学会の論文
• 2005-08-01

著者

• NAKAGAWA Masaki

  Graduate School of Pharmaceutical Sciences and Graduate School of Medicine, Kyoto University

• ZHU Bilan

  Graduate School of Engineering, Tokyo University of Agriculture and Technology

• Zhu Bilan

  Graduate School Of Engineering Tokyo University Of Agriculture And Technology

• YANG Yiping

  Graduate School of Engineering, Tokyo University of Agriculture and Technology

• Nakagawa Masaki

  Graduate School Of Pharmaceutical Sciences And Graduate School Of Medicine Kyoto University

• Yang Yiping

  Graduate School Of Engineering Tokyo University Of Agriculture And Technology

• Nakagawa Masaki

  Graduate School Of Engineering Tokyo University Of Agriculture And Technology

関連論文

• Evaluation of radioiodinated 5-iodo-3- (2(S) -azetidinylmethoxy) pyridine as a ligand for SPECT investigations of brain nicotinic acetylcholine receptors
• A Model of On-line Handwritten Japanese Text Recognition Free from Line Direction and Writing Format Constraints(On-line Text, Document Image Understanding and Digital Documents)
• An On-line Handwritten Japanese Text Recognition System Free from Line Direction and Character Orientation Constraints(On-line Text, Document Image Understanding and Digital Documents)
• Structuring Search Space for Accelerating Large Set Character Recognition(Search Space for Character Recognition, Document Image Understanding and Digital Documents)
• Development of a Robust and Compact On-Line Handwritten Japanese Text Recognizer for Hand-Held Devices

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