Nonuniform Slant Correction for Handwritten Word Recognition
Summary :
Slant correction is a preprocessing technique to improve segmentation and recognition accuracy for handwritten word recognition. All conventional slant correction techniques were performed by the estimation of the average slant angle and the shear transformation. In this paper, a nonuniform slant correction technique for handwritten word recognition is proposed where the slant correction problem is formulated as a global optimal estimation problem of the sequence of local slant angles. The optimal estimation is performed by a dynamic programming based algorithm. From experimental results it was shown that the present technique outperforms conventional uniform slant correction techniques.
- Publication
- IEICE TRANSACTIONS on Information Vol.E87-D No.5 pp.1247-1253
- Publication Date
- 2004/05/01
- Publicized
- Online ISSN
- DOI
- Type of Manuscript
- PAPER
- Category
- Image Recognition, Computer Vision
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Eiji TAIRA, Seiichi UCHIDA, Hiroaki SAKOE, "Nonuniform Slant Correction for Handwritten Word Recognition" in IEICE TRANSACTIONS on Information,
vol. E87-D, no. 5, pp. 1247-1253, May 2004, doi: .
Abstract: Slant correction is a preprocessing technique to improve segmentation and recognition accuracy for handwritten word recognition. All conventional slant correction techniques were performed by the estimation of the average slant angle and the shear transformation. In this paper, a nonuniform slant correction technique for handwritten word recognition is proposed where the slant correction problem is formulated as a global optimal estimation problem of the sequence of local slant angles. The optimal estimation is performed by a dynamic programming based algorithm. From experimental results it was shown that the present technique outperforms conventional uniform slant correction techniques.
URL: https://global.ieice.org/en_transactions/information/10.1587/e87-d_5_1247/_p
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@ARTICLE{e87-d_5_1247,
author={Eiji TAIRA, Seiichi UCHIDA, Hiroaki SAKOE, },
journal={IEICE TRANSACTIONS on Information},
title={Nonuniform Slant Correction for Handwritten Word Recognition},
year={2004},
volume={E87-D},
number={5},
pages={1247-1253},
abstract={Slant correction is a preprocessing technique to improve segmentation and recognition accuracy for handwritten word recognition. All conventional slant correction techniques were performed by the estimation of the average slant angle and the shear transformation. In this paper, a nonuniform slant correction technique for handwritten word recognition is proposed where the slant correction problem is formulated as a global optimal estimation problem of the sequence of local slant angles. The optimal estimation is performed by a dynamic programming based algorithm. From experimental results it was shown that the present technique outperforms conventional uniform slant correction techniques.},
keywords={},
doi={},
ISSN={},
month={May},}
Copy
TY - JOUR
TI - Nonuniform Slant Correction for Handwritten Word Recognition
T2 - IEICE TRANSACTIONS on Information
SP - 1247
EP - 1253
AU - Eiji TAIRA
AU - Seiichi UCHIDA
AU - Hiroaki SAKOE
PY - 2004
DO -
JO - IEICE TRANSACTIONS on Information
SN -
VL - E87-D
IS - 5
JA - IEICE TRANSACTIONS on Information
Y1 - May 2004
AB - Slant correction is a preprocessing technique to improve segmentation and recognition accuracy for handwritten word recognition. All conventional slant correction techniques were performed by the estimation of the average slant angle and the shear transformation. In this paper, a nonuniform slant correction technique for handwritten word recognition is proposed where the slant correction problem is formulated as a global optimal estimation problem of the sequence of local slant angles. The optimal estimation is performed by a dynamic programming based algorithm. From experimental results it was shown that the present technique outperforms conventional uniform slant correction techniques.
ER -
English
