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OCR图像数据集,可用于OCR系统分类算法的基准测试

OCR图像数据集,可用于OCR系统分类算法的基准测试

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NLP Classification

Data Set Information:Data Type: GrayScale Image The image dataset can be used to benchmark classification algorithm for......

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    README.md

    Data Set Information:

    Data Type: GrayScale Image
    The image dataset can be used to benchmark classification algorithm for OCR systems. The highest accuracy obtained in the Test set is 98.47%. Model Description is available in the paper [Web link]
    More information on the dataset at [Web link].


    Attribute Information:

    Image Format: .png
    Resolution: 32 by 32
    Actual character is centered within 28 by 28 pixel, padding of 2 pixel is added on all four sides of actual character.


    Relevant Papers:

    S. Acharya, A.K. Pant and P.K. Gyawali a€?Deep Learning based Large Scale Handwritten Devanagari Character Recognitiona€?,In Proceedings of the 9th International Conference on Software, Knowledge, Information Management and Applications (SKIMA), pp. 121-126, 2015.


    Citation Request:

    The material maybe used for free with the following paper cited,
    S. Acharya, A.K. Pant and P.K. Gyawali a€?Deep Learning based Large Scale Handwritten Devanagari Character Recognitiona€?,In Proceedings of the 9th International Conference on Software, Knowledge, Information Management and Applications (SKIMA), pp. 121-126, 2015.


    The dataset was created by extraction and manual annotation of thousands of characters from handwritten documents.
    Creator Name: Shailesh Acharya, Email: sailes437 '@' gmail.com, Institution: University of North Texas, Cell: +19402200157
    Creator Name: Prashnna Kumar Gyawali, Email: gyawali.prasanna '@' gmail.com, Institution: Rochester Institute of Technology

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