Results 151 to 160 of about 393 (182)

A System for Handwritten and Printed Text Classification

2017 UKSim-AMSS 19th International Conference on Computer Modelling & Simulation (UKSim), 2017
An optical character recognition (OCR) system recognizes either printed or handwritten text. Hence it is required to seperate machine printed text from handwritten text in scanned documents before feeding it to a OCR system. We can discriminate these two types of text word images by their visual impression and shape structures.
Bala Mallikarjunarao Garlapati, Srinivasa Rao Chalamala   +1 more
openaire   +1 more source

A database for handwritten text recognition research

IEEE Transactions on Pattern Analysis and Machine Intelligence, 1994
An image database for handwritten text recognition research is described. Digital images of approximately 5000 city names, 5000 state names, 10000 ZIP Codes, and 50000 alphanumeric characters are included. Each image was scanned from mail in a working post office at 300 pixels/in in 8-bit gray scale on a high-quality flat bed digitizer.
openaire   +1 more source

An architecture for handwritten text recognition systems

International Journal on Document Analysis and Recognition, 1999
This paper presents an end-to-end system for reading handwritten page images. Five functional modules included in the system are introduced in this paper: (i) pre-processing, which concerns introducing an image representation for easy manipulation of large page images and image handling procedures using the image representation; (ii) line separation ...
Gyeonghwan Kim, Venu Govindaraju, Sargur N. Srihari   +2 more
openaire   +2 more sources

Handwritten Text Recognition

2019
Handwritten Text Recognition: Transkribus and Learned ...
Petrolini C, Wallnig T
openaire   +2 more sources

Handwritten Text Recognition: A Deep Learning Based Approach to Digitize Handwritten Text

International Scientific Journal of Engineering and Management
              Our project employs deep learning methods to digitize handwritten pages into text. The process has a number of steps, ranging from identifying individual words, and identifying individual characters. Through the use of convolutional neural networks (CNNs) and other sophisticated machine learning models, the project seeks to perform ...
Potta Pramodita, P. Nancy Celine, Gugulothu Krishnaveni   +2 more
openaire   +1 more source

Transfiguring Handwritten Text and Typewritten Text

2022
M. Keerthana, P. Hima Varshini, K. Sri Thanvi, G. Vijaya, V. Deepa   +4 more
openaire   +1 more source

Is There a (Dis-)Fluency Effect in Learning With Handwritten Instructional Texts? Evidence From Three Studies

Frontiers in Education, 2021
Maik Beege, Steve Nebel, Felix Krieglstein   +2 more
exaly  

Recognizing handwritten text

Proceedings of the SIGCHI conference on Human factors in computing systems Reaching through technology - CHI '91, 1991
openaire   +1 more source

HP_DocPres: a method for classifying printed and handwritten texts in doctor’s prescription

Multimedia Tools and Applications, 2020
Avishek Garain, Ram Sarkar, Pawan Kumar Singh   +2 more
exaly  

Text-independent writer recognition using multi-script handwritten texts

Pattern Recognition Letters, 2013
Imran Siddiqi, Chawki Djeddi, Labiba SOUICI-MESLATI   +2 more
exaly