computer-vision-1

Handwritten Word Segmentation

3260 papers • 126 benchmarks • 313 datasets

Handwritten Word Segmentation from Document Images.

(Image credit: Papersgraph)

Benchmarks

These leaderboards are used to track progress in handwritten-word-segmentation-1

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Dataset

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BN-HTRd

BanglaWriting

Libraries

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Use these libraries to find handwritten-word-segmentation-1 models and implementations

Datasets

BanglaWriting

BN-HTRd

Subtasks

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Most implemented papers

BanglaWriting: A multi-purpose offline Bangla handwriting dataset

M. F. Mridha, Abu Quwsar Ohi, M. A. Ali, Mazedul Islam Emon, Muhammad Mohsin Kabir•Sat Nov 14 2020

A Bangla handwriting dataset that contains single-page handwritings of 260 individuals of different personalities and ages that can be used for complex optical character/word recognition, writer identification, handwritten word segmentation, and word generation is presented.

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BN-DRISHTI: Bangla Document Recognition through Instance-level Segmentation of Handwritten Text Images

Md Ataur Rahman, Nazifa Tabassum, Sheikh Mohammad Jubaer, M. K. Islam•Tue May 30 2023

This paper presents an extended version of the BN-HTRd dataset comprising 786 full-page handwritten Bangla document images, line and word-level annotation for segmentation, and corresponding ground truths for word recognition, and solves the segmentation problem by introducing a state-of-the-art method (BN-DRISHTI).

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Paper Graph

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