Handwriting Recognition
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Abstract (arXiv)
This paper describes the method to recognize offline handwritten characters. A robust algorithm for handwriting segmentation is described here with the help of which individual characters can be segmented from a selected word from a paragraph of handwritten text image which is given as input.
Key facts. Cited by 3 papers in the map (data through 14 Oct 2026). First posted on arXiv 19 Jul 2015.
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Citing papers per year: 2021: 1; 2022: 0; 2023: 0; 2024: 0; 2025: 1; 2026: 1.
3 papers.
- 2025MLLM-Selector: Necessity and Diversity-driven High-Value Data Selection for Enhanced Visual Instruction Tuningcited by 9
- 2026Online Handwriting Trajectory Reconstruction from Kinematic Sensors using Temporal Convolutional Networkcited by 1
- 2021Handwritten Digit Recognition using Machine and Deep Learning Algorithmscited by 0
- 2026Online Handwriting Trajectory Reconstruction from Kinematic Sensors using Temporal Convolutional Network29 Jul 2026
- 2025MLLM-Selector: Necessity and Diversity-driven High-Value Data Selection for Enhanced Visual Instruction Tuning26 Mar 2025
- 2021Handwritten Digit Recognition using Machine and Deep Learning Algorithms23 Jun 2021