Cursive script recognition: A fast reader scheme
A cheque processing system currently under development is described. More precisely, the cursive script recognition module for the legal amount is discussed. Commonly, systems perform recognition either on a character by character basis, or on a word level. The authors investigate the recognition at...
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creator | Guillevic, D. Suen, C.Y. |
description | A cheque processing system currently under development is described. More precisely, the cursive script recognition module for the legal amount is discussed. Commonly, systems perform recognition either on a character by character basis, or on a word level. The authors investigate the recognition at a higher level of abstraction, at the sentence level. Knowledge of context, orthography, syntax and semantics is used to supplement the information from the graphical input. The system is based on a psychological model of the reading process for a fast reader. The module for extracting graphical clues, implemented with the techniques of mathematical morphology, is discussed.< > |
doi_str_mv | 10.1109/ICDAR.1993.395725 |
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More precisely, the cursive script recognition module for the legal amount is discussed. Commonly, systems perform recognition either on a character by character basis, or on a word level. The authors investigate the recognition at a higher level of abstraction, at the sentence level. Knowledge of context, orthography, syntax and semantics is used to supplement the information from the graphical input. The system is based on a psychological model of the reading process for a fast reader. The module for extracting graphical clues, implemented with the techniques of mathematical morphology, is discussed.< ></description><identifier>ISBN: 0818649607</identifier><identifier>ISBN: 9780818649608</identifier><identifier>DOI: 10.1109/ICDAR.1993.395725</identifier><language>eng</language><publisher>IEEE Comput. Soc. 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More precisely, the cursive script recognition module for the legal amount is discussed. Commonly, systems perform recognition either on a character by character basis, or on a word level. The authors investigate the recognition at a higher level of abstraction, at the sentence level. Knowledge of context, orthography, syntax and semantics is used to supplement the information from the graphical input. The system is based on a psychological model of the reading process for a fast reader. The module for extracting graphical clues, implemented with the techniques of mathematical morphology, is discussed.< ></description><subject>Character recognition</subject><subject>Data mining</subject><subject>Graphics</subject><subject>Law</subject><subject>Legal factors</subject><subject>Machine intelligence</subject><subject>Morphology</subject><subject>North America</subject><subject>Pattern recognition</subject><subject>Psychology</subject><isbn>0818649607</isbn><isbn>9780818649608</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>1993</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><recordid>eNpjYJA0NNAzNDSw1Pd0dnEM0jO0tDTWM7Y0NTcyZWbgMrAwtDAzsTQzMOdg4C0uzjIAAlNTCyMjc04GA-fSouLMslSF4uSizIIShaLU5Pz0vMySzPw8KwVHhbTEYpBYYkpqEVBFRmpuKg8Da1piTnEqL5TmZpBycw1x9tDNTE1NjS8oysxNLKqMh9htjFcSAI67MmE</recordid><startdate>1993</startdate><enddate>1993</enddate><creator>Guillevic, D.</creator><creator>Suen, C.Y.</creator><general>IEEE Comput. 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More precisely, the cursive script recognition module for the legal amount is discussed. Commonly, systems perform recognition either on a character by character basis, or on a word level. The authors investigate the recognition at a higher level of abstraction, at the sentence level. Knowledge of context, orthography, syntax and semantics is used to supplement the information from the graphical input. The system is based on a psychological model of the reading process for a fast reader. The module for extracting graphical clues, implemented with the techniques of mathematical morphology, is discussed.< ></abstract><pub>IEEE Comput. Soc. Press</pub><doi>10.1109/ICDAR.1993.395725</doi></addata></record> |
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language | eng |
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subjects | Character recognition Data mining Graphics Law Legal factors Machine intelligence Morphology North America Pattern recognition Psychology |
title | Cursive script recognition: A fast reader scheme |
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