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AIP Conference ProceedingsHandwritten text detection refers to the capacity of a computer system to interpret and understand handwritten input from various sources such as paper documents, touch displays, and photographs. Within the realm of pattern recognition, one specific area is handwritten text recognition, which involves categorizing and interpreting handwritten text.
Lydia Deborah Isaac +3 more
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A Scalable Handwritten Text Recognition System [PDF]
2019 International Conference on Document Analysis and Recognition (ICDAR), 2019 Many studies on (Offline) Handwritten Text Recognition (HTR) systems have focused on building state-of-the-art models for line recognition on small corpora. However, adding HTR capability to a large scale multilingual OCR system poses new challenges.
R. Reeve Ingle +4 more
openaire +2 more sources
Performance of hidden Markov model and dynamic Bayesian network classifiers on handwritten Arabic word recognition [PDF]
, 2011 This paper presents a comparative study of two machine learning techniques for recognizing handwritten Arabic words, where hidden Markov models (HMMs) and dynamic Bayesian networks (DBNs) were evaluated.
Jinchang Ren +11 more
core +1 more source
The Challenges of Recognizing Offline Handwritten Chinese: A Technical Review
Applied Sciences, 2023 Offline handwritten Chinese recognition is an important research area of pattern recognition, including offline handwritten Chinese character recognition (offline HCCR) and offline handwritten Chinese text recognition (offline HCTR), which are closely ...
Lu Shen +5 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 +3 more
doaj +2 more sources
Word matching using single closed contours for indexing handwritten historical documents [PDF]
, 2007 Effective indexing is crucial for providing convenient access to scanned versions of large collections of historically valuable handwritten manuscripts. Since traditional handwriting recognizers based on optical character recognition (OCR) do not perform
Murphy, Noel +4 more
core +1 more source
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 +2 more
doaj +1 more source
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 +8 more
doaj +1 more source