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Content Provider | IEEE Xplore Digital Library |
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Author | Velek, O. Cheng-Lin Liu Nakagawa, M. |
Copyright Year | 2001 |
Description | Author affiliation: Dept. of Comput., Inf. & Commun. Sci., Tokyo Univ. of Agric. & Technol., Japan (Velek, O.) |
Abstract | The availability of a large sample database is very important to design high accuracy classifiers for handwritten character recognition. Collecting image samples from human writers and practical documents is expensive particularly for large character sets, like with East-Asia-languages. We can therefore take advantage of existing online databases to generate additional off-line images. This paper proposes a method to generate realistic character images from online patterns. From the pen trajectory of an online pattern, the proposed method can generate numerous images of various stroke shapes using three painting modes: constant line mode, proportional mode and calligraphic mode. Particularly, the calligraphic mode combines the pen trajectory (representing the writing style of one concrete writer) with real stroke images (also representing individual writing style of a concrete writer) to generate character images that look as if they were produced with a brush or pen by human hand. |
Sponsorship | IAPR |
Starting Page | 556 |
Ending Page | 560 |
File Size | 409269 |
Page Count | 5 |
File Format | |
ISBN | 0769512631 |
DOI | 10.1109/ICDAR.2001.953850 |
Language | English |
Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Publisher Date | 2001-09-13 |
Publisher Place | USA |
Access Restriction | Subscribed |
Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Subject Keyword | Character generation Image generation Image databases Humans Writing Concrete Availability Character recognition Shape Painting |
Content Type | Text |
Resource Type | Article |
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