Robust Character Segmentation and Recognition Schemes for Multilingual Indian Document Images-Reference-Cited by-同舟云学术

Robust Character Segmentation and Recognition Schemes for Multilingual Indian Document Images

Published:2018-04-09 Issue:2 Volume:36 Page:209-222
ISSN:0256-4602
Container-title:IETE Technical Review
language:en
Short-container-title:IETE Technical Review

Author:

Sahare Parul¹^ORCID,Dhok Sanjay B.¹

Affiliation:

1. Department of Electronics and Communication Engineering, Centre for VLSI & Nanotechnology, Visvesvaraya National Institute of Technology , Nagpur, India

Publisher

Informa UK Limited

Subject

Electrical and Electronic Engineering

Link

https://www.tandfonline.com/doi/pdf/10.1080/02564602.2018.1450649

Reference67 articles.

1. Segmentation of single- or multiple-touching handwritten numeral string using background and foreground analysis

2. Segmentation of touching characters in printed devnagari and bangla scripts using fuzzy multifactorial analysis

3. Segmentation of touching and fused Devanagari characters

4. Offline Recognition of Devanagari Script: A Survey

Cited by 17 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A Robust Modified Character Segmentation Approach for the Handwritten Archaic Modi Documents;SN Computer Science;2024-06-25

2. A Novel spatial relational features generation using encoded geometry for character recognition;2024 International Conference on Knowledge Engineering and Communication Systems (ICKECS);2024-04-18

3. Script independent text segmentation of document images using graph network based shortest path scheme;International Journal of Information Technology;2023-03-25

4. A RECURSIVE ALGORITHM FOR SEGMENTATION OF DEGRADED DEVANAGARI SCRIPT, 133-142. SI;Mechatronic Systems and Control;2023

5. Script-Independent Text Segmentation from Document Images;International Journal of Ambient Computing and Intelligence;2022-11-17