A survey of document image word spotting techniques
Vast collections of documents available in image format need to be indexed for information
retrieval purposes. In this framework, word spotting is an alternative solution to optical …
retrieval purposes. In this framework, word spotting is an alternative solution to optical …
A survey on handwritten documents word spotting
Along with the explosive growth of the amount of handwritten documents that are preserved,
processed and accessed in a digital form, handwritten document images word spotting has …
processed and accessed in a digital form, handwritten document images word spotting has …
The optical character recognition of Urdu-like cursive scripts
We survey the optical character recognition (OCR) literature with reference to the Urdu-like
cursive scripts. In particular, the Urdu, Pushto, and Sindhi languages are discussed, with the …
cursive scripts. In particular, the Urdu, Pushto, and Sindhi languages are discussed, with the …
Enabling independent learning of programming concepts through programming completion puzzles
KJ Harms, N Rowlett, C Kelleher - 2015 IEEE Symposium on …, 2015 - ieeexplore.ieee.org
Many novice programming environments use puzzle-like approaches to help novice
programmers acquire new programming skills independently. Yet, little is known about 1) …
programmers acquire new programming skills independently. Yet, little is known about 1) …
A novel method for recognition of Persian alphabet by using fuzzy neural network
MMM Kia, JA Alzubi, M Gheisari, X Zhang… - IEEE …, 2018 - ieeexplore.ieee.org
This paper presents a system that can recognize handwritten words expressed using broken
letters of the Persian alphabet. The proposed system can be used for most activities related …
letters of the Persian alphabet. The proposed system can be used for most activities related …
Classification of Urdu ligatures using convolutional neural networks-a novel approach
Urdu Nasteleeq text recognition is one of the very challenging problems in document image
processing. The cursive nature of Urdu script makes character segmentation very difficult …
processing. The cursive nature of Urdu script makes character segmentation very difficult …
Recognition of cursive video text using a deep learning framework
This study focuses on cursive text recognition appearing in videos, using a complete
framework of deep neural networks. While mature video optical character recognition …
framework of deep neural networks. While mature video optical character recognition …
A review of deep learning techniques in document image word spotting
L Kumari, A Sharma - Archives of Computational Methods in Engineering, 2022 - Springer
From the early days of pattern recognition, word spotting have been important test beds for
studying how well machines can perform better decision making. In recent years, word …
studying how well machines can perform better decision making. In recent years, word …
Size invariant handwritten character recognition using single layer feedforward backpropagation neural networks
Handwritten character recognition is among the most challenging research areas in pattern
recognition and image processing. With everything going digital, applications of handwritten …
recognition and image processing. With everything going digital, applications of handwritten …
A holistic approach to Urdu language word recognition using deep neural networks
Urdu is one of the most popular languages in the world. It is a Persianized standard register
of the Hindi language with considerable and valuable literature. While digital libraries are …
of the Hindi language with considerable and valuable literature. While digital libraries are …