Handwritten Numeral Databases of Indian Scripts and Multistage Recognition of Mixed Numerals

By Ujjwal Bhattacharya, Bidyut Baran Chaudhuri. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2009

375 citations recorded by the source corpus.

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Learning Sparse Feature Representations Using Probabilistic Quadtrees and Deep Belief Nets (2015, methodology): “The main contributions of our work are twofold – (1) We first present three labeled handwritten digit datasets, collectively called n-MNIST, and three labeled Bangla numeral datasets, created by adding white gaussian noise, motion blur and reduced contrast to the original MNIST dataset[7] and the of”
Handwritten Optical Character Recognition (OCR): A Comprehensive Systematic Literature Review (SLR) (2020, methodology): “Another research carried out on Hindi numerals [25] used relatively large dataset of 22,556 isolated numeral samples of Devanagari and 23,392 samples of Bangla scripts.”