Abstract: Handwritten data recognition (HDR) remains a challenging task in real-world applications. The motivation for this work is automation of payment process from scanned payment slips to billing ...

04 April 2025, 2:00 pm–4:00 pm How can computational methods help to distinguish between documents in large text corpora? In this workshop we will explore how to use tf-idf (term frequency - inversed ...

Editor’s note: This article is published in collaboration with MuckRock. You may also be interested in their 2023 review of OCR tools! Extracting tabular data from documents presents a persistent ...

The HKR Dataset for Russian and Kazakh database (with about 95% of Russian and 5% of Kazakh words/sentences respectively) for offline handwriting recognition. The dataset can be downloaded through the ...

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In this repository I provide a clean PyTorch model implementation of the paper "Fast multi-language LSTM-based online handwriting recognition" by Carbune et al. (2020) from Google; see this paper.

Abstract: The capability of ML (Machine Learning) algorithms to recognize images of handwritten numerals is known as HDR (Handwritten Digit Recognition). Because handwritten numerals are imperfect and ...

Across the globe, dyslexia and dysgraphia are two frequent learning disorders identified in classrooms. This condition is characterized by difficulties in age-appropriate reading without any ...