[HTML][HTML] Digitization of handwritten Devanagari text using CNN transfer learning–A better customer service support

SD Pande, PP Jadhav, R Joshi, AD Sawant… - Neuroscience …, 2022 - Elsevier
Devanagari script is one of the bases of various language scripts in India. With the growth of
computing and technology, manual systems are replaced by automated one. The purpose of …

[HTML][HTML] Handwritten devanagari manuscript characters recognition using capsnet

A Moudgil, S Singh, V Gautam, S Rani… - International Journal of …, 2023 - Elsevier
Manuscripts serve as a wealth of knowledge for future generations and are a useful source
of information for locating material from the Middle Ages. Ancient manuscripts can be found …

A review of various line segmentation techniques used in handwritten character recognition

S Joseph, J George - … Technology for Competitive Strategies (ICTCS 2021 …, 2022 - Springer
Segmentation is a very critical stage in the character recognition process as the performance
of any character recognition system depends heavily on the accuracy of segmentation …

[HTML][HTML] Deep learning for ancient scripts recognition: A CapsNet-LSTM based approach

A Moudgil, S Singh, S Rani, M Shabaz… - Alexandria Engineering …, 2024 - Elsevier
Efficient character recognition in ancient handwritten Devanagari documents is crucial for
societal advancements. Challenges such as overlapping characters, missing headlines, and …

Line and word segmentation of handwritten text documents written in Gurmukhi script using mid point detection technique

P Jindal, B Jindal - … on Recent Advances in Engineering & …, 2015 - ieeexplore.ieee.org
In this paper, a new method is proposed for line and word segmentation analysis of
handwritten script. The main aim of this paper is Line and Word Segmentation of text …

Cnn-lstm based approach for recognition of devanagari manuscripts

A Moudgil, S Singh, B Sareen - 2022 International Conference …, 2022 - ieeexplore.ieee.org
Devanagari scripts are a good source of information as it consists medieval and prestigious
content which is very useful for the upcoming generations. Digitization of these scripts …

A novel segmentation and skew correction approach for handwritten Malayalam documents

SAB Haji, A James, S Chandran - Procedia Technology, 2016 - Elsevier
Segmentation of handwritten document images is a complex task due to the variability in the
writing styles. The segmentation technique has to deal with non-uniformly skewed …

[PDF][PDF] Text-line extraction from handwritten document images using histogram and connected component analysis

GG Rajput, SB Ummapure, PN Patil - International Journal of Computer …, 2015 - Citeseer
Text-line segmentation is an essential part of script identification technique from handwritten
and printed document images. In case of handwritten documents, overlapping, touching …

[PDF][PDF] 结合文字核心区域和扩展生长的藏文古籍文本行切分

李金成, 王筱娟, 王维兰, 林强, 胡鹏飞 - Laser & Optoelectronics …, 2021 - researching.cn
摘要藏文古籍文档图像中相邻文本行之间通常存在黏连和重叠的情况, 这使得文本行切分成为一
项艰巨的任务. 因此, 提出了一种结合文字核心区域和扩展生长的藏文古籍文档图像的行切分 …

Segmenting Characters from Malayalam Handwritten Documents

CP Hashrin, A Jossy, K Sudhakaran… - … on Innovations in …, 2019 - ieeexplore.ieee.org
Construction of an Optical Character Recognition (OCR) model for handwritten documents
poses many challenges, the most prominent of them being dataset collection, character …