A YOLOv3-based system detects Bengali digits and operators and evaluates handwritten arithmetic expressions, reporting 98.6% mAP on a new self-made dataset.
NumtaDB - Assembled Bengali Handwritten Digits
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abstract
To benchmark Bengali digit recognition algorithms, a large publicly available dataset is required which is free from biases originating from geographical location, gender, and age. With this aim in mind, NumtaDB, a dataset consisting of more than 85,000 images of hand-written Bengali digits, has been assembled. This paper documents the collection and curation process of numerals along with the salient statistics of the dataset.
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HishabNet: Detection, Localization and Calculation of Handwritten Bengali Mathematical Expressions
A YOLOv3-based system detects Bengali digits and operators and evaluates handwritten arithmetic expressions, reporting 98.6% mAP on a new self-made dataset.