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樓主
發(fā)表于 2025-3-21 17:10:10 | 只看該作者 |倒序瀏覽 |閱讀模式
書目名稱Guide to OCR for Indic Scripts
編輯Venu Govindaraju,Srirangaraj (Ranga) Setlur
視頻videohttp://file.papertrans.cn/391/390877/390877.mp4
叢書名稱Advances in Computer Vision and Pattern Recognition
圖書封面Titlebook: ;
出版日期Book 2010
版次1
doihttps://doi.org/10.1007/978-1-84800-330-9
isbn_softcover978-1-4471-2518-1
isbn_ebook978-1-84800-330-9Series ISSN 2191-6586 Series E-ISSN 2191-6594
issn_series 2191-6586
The information of publication is updating

書目名稱Guide to OCR for Indic Scripts影響因子(影響力)




書目名稱Guide to OCR for Indic Scripts影響因子(影響力)學(xué)科排名




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沙發(fā)
發(fā)表于 2025-3-21 20:31:13 | 只看該作者
Software Project Effort Estimation networks. Results of experiments wherein various combinations of feature extraction methods with classifiers are also presented. We find that general regression neural network with wavelets feature gives best results with significant time saving in training. Since Indic scripts require syllabic rec
板凳
發(fā)表于 2025-3-22 01:09:23 | 只看該作者
地板
發(fā)表于 2025-3-22 07:09:27 | 只看該作者
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發(fā)表于 2025-3-22 09:38:17 | 只看該作者
Michael Meyer,Astrid Dehnel,Elmar Fichtl background of a gray-scale image using piece-wise linear and nonlinear models. Normalization algorithms are used on the color channels of the palm leaf image to obtain an enhanced gray-scale image. Experimental results show significant improvement in readability. An adaptive local connectivity map
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發(fā)表于 2025-3-22 14:17:38 | 只看該作者
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發(fā)表于 2025-3-22 18:43:08 | 只看該作者
A Complete Machine-Printed Gurmukhi OCR Systemukhi script and discusses potential solutions. A multi-font Gurmukhi OCR for printed text with an accuracy rate exceeding 96% at the character level is presented. A combination of local and global structural features is used for the feature extraction process, aimed at capturing the geometrical and
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發(fā)表于 2025-3-22 22:05:22 | 只看該作者
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發(fā)表于 2025-3-23 02:19:41 | 只看該作者
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發(fā)表于 2025-3-23 09:19:58 | 只看該作者
Online Handwriting Recognition for Indic Scriptsg online handwriting in Indic scripts and provide an overview of the state of the art for isolated character and word recognition. We then present in brief some of the promising applications, starting with handwriting-based text input systems (IMEs) that have been built for entering Indic scripts. I
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