A Gray Zone Between Two Classes  --Case of Smooth Curvature Change--

Shunji MORI; Yu NAKAJIMA; Hirobumi NISHIDA

A Gray Zone Between Two Classes --Case of Smooth Curvature Change--

Shunji MORI, Yu NAKAJIMA, Hirobumi NISHIDA

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There are many instances in which character shape of a class changes smoothly to that of another class. Although there are many ways of the change, the most delicate change is curvature feature. The paper treat this problem systematically in both theoretically and experimentally. Specifically some confusing pairs were constructed which are well known in the field of OCR, such as 2 Z and 4 9. A series of samples generated using each model which change subtly were provided to conduct a psychological experiment. The results exhibit a monotone change of recognition rates from nearly 100% to 0% as the shape changes continuously. To imitate the humans' performance, feature of curvature was extracted based on continuous function representation based on Bezier's spline curve. Specifically two methods were tried from theoretical and engineering points of view and very successful results were obtained.

Publication: IEICE TRANSACTIONS on Information Vol.E79-D No.5 pp.477-484

Publication Date: 1996/05/25

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Type of Manuscript: Special Section PAPER (Special Issue on Character Recognition and Document Understanding)

Category: Shape Models

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Shunji MORI, Yu NAKAJIMA, Hirobumi NISHIDA, "A Gray Zone Between Two Classes --Case of Smooth Curvature Change--" in IEICE TRANSACTIONS on Information, vol. E79-D, no. 5, pp. 477-484, May 1996, doi: .
Abstract: There are many instances in which character shape of a class changes smoothly to that of another class. Although there are many ways of the change, the most delicate change is curvature feature. The paper treat this problem systematically in both theoretically and experimentally. Specifically some confusing pairs were constructed which are well known in the field of OCR, such as 2 Z and 4 9. A series of samples generated using each model which change subtly were provided to conduct a psychological experiment. The results exhibit a monotone change of recognition rates from nearly 100% to 0% as the shape changes continuously. To imitate the humans' performance, feature of curvature was extracted based on continuous function representation based on Bezier's spline curve. Specifically two methods were tried from theoretical and engineering points of view and very successful results were obtained.
URL: https://global.ieice.org/en_transactions/information/10.1587/e79-d_5_477/_p

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@ARTICLE{e79-d_5_477,
author={Shunji MORI, Yu NAKAJIMA, Hirobumi NISHIDA, },
journal={IEICE TRANSACTIONS on Information},
title={A Gray Zone Between Two Classes --Case of Smooth Curvature Change--},
year={1996},
volume={E79-D},
number={5},
pages={477-484},
abstract={There are many instances in which character shape of a class changes smoothly to that of another class. Although there are many ways of the change, the most delicate change is curvature feature. The paper treat this problem systematically in both theoretically and experimentally. Specifically some confusing pairs were constructed which are well known in the field of OCR, such as 2 Z and 4 9. A series of samples generated using each model which change subtly were provided to conduct a psychological experiment. The results exhibit a monotone change of recognition rates from nearly 100% to 0% as the shape changes continuously. To imitate the humans' performance, feature of curvature was extracted based on continuous function representation based on Bezier's spline curve. Specifically two methods were tried from theoretical and engineering points of view and very successful results were obtained.},
keywords={},
doi={},
ISSN={},
month={May},}

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TY - JOUR
TI - A Gray Zone Between Two Classes --Case of Smooth Curvature Change--
T2 - IEICE TRANSACTIONS on Information
SP - 477
EP - 484
AU - Shunji MORI
AU - Yu NAKAJIMA
AU - Hirobumi NISHIDA
PY - 1996
DO -
JO - IEICE TRANSACTIONS on Information
SN -
VL - E79-D
IS - 5
JA - IEICE TRANSACTIONS on Information
Y1 - May 1996
AB - There are many instances in which character shape of a class changes smoothly to that of another class. Although there are many ways of the change, the most delicate change is curvature feature. The paper treat this problem systematically in both theoretically and experimentally. Specifically some confusing pairs were constructed which are well known in the field of OCR, such as 2 Z and 4 9. A series of samples generated using each model which change subtly were provided to conduct a psychological experiment. The results exhibit a monotone change of recognition rates from nearly 100% to 0% as the shape changes continuously. To imitate the humans' performance, feature of curvature was extracted based on continuous function representation based on Bezier's spline curve. Specifically two methods were tried from theoretical and engineering points of view and very successful results were obtained.
ER -