SUST-BHND: A database of Bangla handwritten numerals

被引：0

作者：

Razik, Shuvanon ^{[1
]}

Hossain, Evan ^{[1
]}

Ismail, Sabir ^{[1
]}

Islam, Md Saiful ^{[1
]}

机构：

[1] Shahjalal Univ Sci & Technol, Dept Comp Sci & Engn, Sylhet, Bangladesh

来源：

2017 IEEE INTERNATIONAL CONFERENCE ON IMAGING, VISION & PATTERN RECOGNITION (ICIVPR) | 2017年

关键词：

SUST-BHND; Numeral image database; OCR; convolutional neural network; Handwritten digits; RECOGNITION;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

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%.

引用

页数：6

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