Presentation 2008-02-21
Reconsideration of Deterministic Character Deformation Model
Toru WAKAHARA,
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Abstract(in English) The new development of sophisticated statistical/probabilistic pattern classification theories from the 1990s have brought about considerable improvements in accuracy of character recognition. As a result, the viewpoint and/or problem of character deformation model has been put in the shade. However, have character recognition researchers obtained a deeper understanding of character deformation? First, in this paper, the problem of character deformation model is clearly posed again. Then, we confirm the importance of deterministic character deformation model when we only have a limited quantity of learning data, and describe conventional techniques based on such models: Tangent distance, and GAT/LAT correlation. Finally, the challenging problem of deterministic character deformation model and promising clues for solving the problem are discussed to encourage young researchers in character recognition.
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Keyword(in English) Character Deformation / Deformation Extraction and Evaluation / Deterministic Character Deformation Model
Paper # PRMU2007-223
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Conference Information
Committee PRMU
Conference Date 2008/2/14(1days)
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Registration To Pattern Recognition and Media Understanding (PRMU)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Reconsideration of Deterministic Character Deformation Model
Sub Title (in English)
Keyword(1) Character Deformation
Keyword(2) Deformation Extraction and Evaluation
Keyword(3) Deterministic Character Deformation Model
1st Author's Name Toru WAKAHARA
1st Author's Affiliation Faculty of Computer and Information Sciences, Hosei University()
Date 2008-02-21
Paper # PRMU2007-223
Volume (vol) vol.107
Number (no) 491
Page pp.pp.-
#Pages 6
Date of Issue