OCR图像数据集，可用于OCR系统分类算法的基准测试

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: [phone] Creator Name: Prashnna Kumar Gyawali, Email: gyawali.prasanna '@' gmail.com, Institution: Rochester Institute of Technology