Results 31 to 40 of about 42,350,204 (257)

On developing handwritten character image database for Malayalam language script

Engineering Science and Technology, an International Journal, 2019
The objective of this paper is to build a handwritten character image database for Malayalam language script. Standard handwritten document image databases are an essential requirement for the development and objective evaluation of different handwritten
K. Manjusha, M. Anand Kumar, K.P. Soman
doaj   +1 more source

AHWR-Net: offline handwritten amharic word recognition using convolutional recurrent neural network

SN Applied Sciences, 2021
Amharic ( ) is the official language of the Federal Government of Ethiopia, with more than 27 million speakers. It uses an Ethiopic script, which has 238 core and 27 labialized characters. It is a low-resourced language, and a few attempts have been made
Fetulhak Abdurahman, Eyob Sisay, Kinde Anlay Fante   +2 more
doaj   +1 more source

Generative adversarial network based adaptive data augmentation for handwritten Arabic text recognition [PDF]

PeerJ Computer Science, 2022
Training deep learning based handwritten text recognition systems needs a lot of data in terms of text images and their corresponding annotations. One way to deal with this issue is to use data augmentation techniques to increase the amount of training ...
Mohamed Eltay, Abdelmalek Zidouri, Irfan Ahmad, Yousef Elarian   +3 more
doaj   +2 more sources

Automatic Text Recognition Made Easy

, 2023
Textual sources, primarily handwritten, and found in archives or libraries, are critical for humanities research. These sources, whether scanned by researchers or digitized by cultural institutions, need to be accessible in full text to facilitate ...
Mareike König
core   +1 more source

Real-Time Pashto Handwritten Character Recognition Using Salient Geometric and Spectral Features

IEEE Access, 2021
Pashto scripts are cursive in nature and hard to recognize in real-time. Native speakers of the Pashto language are large in numbers and reside in different regions of the world.
Muhammad Shabir, Naveed Islam, Zahoor Jan, Inayat Khan, Taj Rahman, Asim Zeb, Shafiq Ahmad, Abdelaty Edrees Abdelgawad, Mali Abdollahian   +8 more
doaj   +1 more source

Exploration of advancements in handwritten document recognition techniques

Intelligent Systems with Applications
Handwritten document recognition and classification are among the many computers related issues being studied for digitizing handwritten data. A handwritten document comprises text, diagrams, mathematical expressions, numerals, and tables.
Vanita Agrawal, Jayant Jagtap, M.V.V. Prasad Kantipudi   +2 more
doaj   +1 more source

Deep Learning Based Models for Offline Gurmukhi Handwritten Character and Numeral Recognition

ELCVIA Electronic Letters on Computer Vision and Image Analysis, 2022
Over the last few years, several researchers have worked on handwritten character recognition and have proposed various techniques to improve the performance of Indic and non-Indic scripts recognition.
Manoj Kumar Mahto, Karamjit Bhatia, Rajendra Kumar Sharma   +2 more
doaj   +1 more source

Self-training for Handwritten Text Line Recognition [PDF]

, 2010
Off-line handwriting recognition deals with the task of automatically recognizing handwritten text from images, for example from scanned sheets of paper. Due to the tremendous variations of writing styles encountered between different individuals, this is a very challenging task. Traditionally, a recognition system is trained by using a large corpus of
Volkmar Frinken, Horst Bunke
openaire   +2 more sources

Handwritten Text Recognition and Digital Text Conversion [PDF]

International Journal of Trend in Scientific Research and Development, 2019
Sometimes it is extremely difficult to secure handwritten documents in the real world. While doing so, we may encounter many problems such as misplacing the documents, unavailability of access from anywhere, physical damage, etc. So, to keep the information secure, we convert that information into digital format to address all the above mentioned ...
Mr. B. Ravinder Reddy, J. Nandini, P. Sowmya | Y. Sathwik   +2 more
openaire   +1 more source

Using content based image retrieval techniques for the indexing and retrieval of Thai handwritten documents [PDF]

, 2010
This paper proposes the use of content base image retrieval (CBIR) techniques for indexing and retrieval of handwritten documents in Thai language. Issues associated with Thai handwritten documents are the lack of spacing between words, multi-level ...
Fung, C.C., Chun Che Fung, Sangsawad, S., Seksan Sangsawad   +3 more
core   +1 more source