OCR-MRD: performance analysis of different optical character recognition engines for medical report digitization

P Batra, N Phalnikar, D Kurmi, J Tembhurne… - International Journal of …, 2024 - Springer
In the modern era, the necessity of digitization is increasing in a rapid manner day-to-day.
The healthcare industries are working towards operating in a paperless environment …

[PDF][PDF] Tesseract vs gocr a comparative study

S Dhiman, A Singh - International Journal of Recent Technology and …, 2013 - Citeseer
Optical Character Recognition (OCR) is a technique used to convert scanned images into
machine readable text formats. Different types of Optical Character Recognition (OCR) Tools …

[PDF][PDF] Image segmentation of historical documents

CAB Mello, RD Lins - Visual2000, Mexico City, Mexico, 2000 - Citeseer
This paper presents a new entropy-based segmentation algorithm for images of documents.
The algorithm is used to eliminate the noise inherent to the paper itself specially in …

Xamã : Optical character recognition for multi-domain model management

W Torres, MGJ van den Brand, A Serebrenik - Innovations in Systems and …, 2024 - Springer
The development of systems following model-driven engineering can include models from
different domains. For example, to develop a mechatronic component one might need to …

An experimental performance analysis on robotics process automation (RPA) with open source OCR engines: Microsoft OCR and google tesseract OCR

T Malathi, D Selvamuthukumaran… - IOP Conference …, 2021 - iopscience.iop.org
Abstract Robotic Process Automation (RPA) plays an important role in the solution for
automating human digital interaction in various software domains like IT, Business Strategy …

Generation of images of historical documents by composition

CAB Mello, RD Lins - Proceedings of the 2002 ACM symposium on …, 2002 - dl.acm.org
This paper describes a system for efficient storage, indexing and network transmission of
images of historical documents. The documents are first decomposed into their features …

A new algorithm for skew detection in images of documents

RD Lins, BT Ávila - … and Recognition: International Conference, ICIAR 2004 …, 2004 - Springer
Very frequently the digitalisation process of documents produce images rotated of small
angles in relation to the original image axis. The skew introduced makes more difficult the …

A new algorithm for removing noisy borders from monochromatic documents

BT Ávila, RD Lins - Proceedings of the 2004 ACM symposium on Applied …, 2004 - dl.acm.org
A New Algorithm for Removing Noisy Borders from Monochromatic Documents Page 1 A New
Algorithm for Removing Noisy Borders from Monochromatic Documents Bruno Tenório Ávila …

[BOOK][B] Spot SAR ATR using wavelet features and neural network classifier

NM Sandirasegaram - 2005 - apps.dtic.mil
An overview and performance summary of an Automated Target Recognition ATR algorithm
based on spot Synthetic Aperture Radar SAR imagery is described in this report. Feature …

An OCR system for numerals applied to energy meters

AR de Alexandria, PC Cortez… - IEEE Latin America …, 2014 - ieeexplore.ieee.org
This work describes a prototype of an OCR (Optical Character Recognition) system
designed for reading digits of power measurement devices, using Artificial Neural Networks …