Enhancing optical character recognition: Efficient techniques for document layout analysis and text line detection

A Fateh, M Fateh, V Abolghasemi - Engineering Reports, 2024 - Wiley Online Library
In recent years, automatic document and text analysis has gained significant importance,
driven by advancements in optical character recognition (OCR) technology and the need for …

Document segmentation using textural features summarization and feedforward neural network

OK Oyedotun, A Khashman - Applied Intelligence, 2016 - Springer
Document Segmentation is a process that aims to filter documents while identifying certain
regions of interest. Generally, the regions of interest include texts, graphics (image occupied …

[PDF][PDF] Segmentation methods for hand written character recognition

N Dave - International journal of signal processing, image …, 2015 - researchgate.net
Abstract Hand written Character Recognition is area of research since many years.
Automation of existing manual system is need of most industries as well as government …

Text-based image segmentation methodology

G Mehul, P Ankita, D Namrata, G Rahul, S Sheth - Procedia Technology, 2014 - Elsevier
In computer vision, segmentation is the process of partitioning a digital image into multiple
segments (sets of pixels). Image segmentation is thus inevitable. Segmentation used for text …

[PDF][PDF] A robust line segmentation algorithm for Arabic printed text with diacritics

M Ayesh, K Mohammad, A Qaroush, S Agaian… - Electronic …, 2017 - library.imaging.org
Line segmentation performs a significant stage in the OCR systems; it has a direct effect on
the character segmentation stage which affects the recognition rate. In this paper a robust …

A hybrid text line segmentation approach for the ancient handwritten unconstrained freestyle Modi script documents

MS Deshmukh, MP Patil, SR Kolhe - The Imaging Science Journal, 2018 - Taylor & Francis
In this paper a novel approach for the segmentation of text lines in handwritten,
unconstrained, and freestyle Modi script document image is presented. The approach is …

An algorithm of line segmentation and reading order sorting based on adjacent character detection: A post-processing of OCR for digitization of Chinese historical …

A Lee, HY Yu, G Min - Journal of Cultural Heritage, 2024 - Elsevier
In recent times, the advent of AI-based optical character recognition (OCR) has garnered
significant attention in the realm of digital text conversion. However, it is imperative to note …

[PDF][PDF] Comparative Study of Text Line Segmentation on Handwritten Kannada Documents

HT Chethana, HR Mamatha - International Journal of Computer Science …, 2016 - Citeseer
Optical Character Recognition is the process of transforming printed or handwritten text in to
a form in which computer can understand and manipulate. An important task of any Optical …

Text Line Detection and Correction for Challenging Datasets: A Case Study with Newspapers Dataset

A Fateh, V Abolghasemi - … Text Line Detection and Correction for …, 2023 - papers.ssrn.com
Abstract Official Iranian Newspapers (OIN) are those in which companies' registration
information is published. To digitally store the data of these newspapers, we need to convert …

Efficient touching text line segmentation in tamil script using horizontal projection

T Kathirvalavakumar, MK Selvi - … MIKE 2013, Tamil Nadu, India, December …, 2013 - Springer
In this paper an efficient method has been proposed to segment a document of machine
printed Tamil sources into text lines. Because of the interfering lines, text line segmentation …