SUST-BHND:孟加拉手写数字数据库

2017 IEEE International Conference on Imaging, Vision & Pattern Recognition (icIVPR) Pub Date : 1900-01-01 DOI:10.1109/ICIVPR.2017.7890891

Shuvanon Razik, E. Hossain, Sabir Ismail, Md Saiful Islam

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引用次数: 6

摘要

本文介绍了sust -孟加拉语手写数字数据库(SUST-BHND)的开发过程。我们从2100张由不同人填写的预先设计好的表格中提取了手写的孟加拉数字。经过数据检索、清理、处理和误差分析，我们创建了一个由101065张样本图像组成的数据库。为孟加拉语OCR和文字识别研究领域提供了基础数据库。最后，通过数据库训练深度卷积神经网络，准确率达到99.4%左右。

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SUST-BHND: A database of Bangla Handwritten Numerals

This paper presents the development process of the SUST-Bangla Handwritten Numeral Database (SUST-BHND). We extracted handwritten Bengali digits from twenty-one hundred pre-designed form filled by different people. After data retrieval, cleaning, processing and error analysis we have created a database consisting of 101065 sample images. It provides a basic database for Bangla OCR and script identification research field. Finally, a deep convolutional neural network was trained by the database which led to an accuracy of around 99.4%.

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2017 IEEE International Conference on Imaging, Vision & Pattern Recognition (icIVPR)

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