KNN and ANN-based recognition of handwritten Pashto letters using zoning features
This paper presents a recognition system for handwritten Pashto letters. However,
handwritten character recognition is a challenging task. These letters not only differ in shape …
handwritten character recognition is a challenging task. These letters not only differ in shape …
D-CNN: a new model for generating image captions with text extraction using deep learning for visually challenged individuals
M Bhalekar, M Bedekar - Engineering, Technology & Applied Science …, 2022 - etasr.com
Automatically describing the information of an image using properly constructed sentences
is a tricky task in any language. However, it has the potential to have a significant effect by …
is a tricky task in any language. However, it has the potential to have a significant effect by …
Local water-filling algorithm for shadow detection and removal of document images
B Wang, CLP Chen - Sensors, 2020 - mdpi.com
Shadow detection and removal is an important task for digitized document applications. It is
hard for many methods to distinguish shadow from printed text due to the high darkness …
hard for many methods to distinguish shadow from printed text due to the high darkness …
Research on data acquisition algorithms based on image processing and artificial intelligence
S Hu - International Journal of Pattern Recognition and …, 2020 - World Scientific
At present, image recognition processing technology has been playing a decisive role in the
field of pattern recognition, of which automatic recognition of bank notes is an important …
field of pattern recognition, of which automatic recognition of bank notes is an important …
An enhanced offline printed Arabic OCR model based on bio-inspired fuzzy classifier
SM Darwish, KO Elzoghaly - IEEE Access, 2020 - ieeexplore.ieee.org
In the recent few years, there was a concentrated search on Arabic Optical Character
Recognition (OCR), especially the recognition of scanned, offline, machine-printed …
Recognition (OCR), especially the recognition of scanned, offline, machine-printed …
Artificial neural network based character recognition using SciLab
Character recognition (CR) from an image of text is challenging research in pattern
recognition and image processing. New CR systems use artificial neural network (ANN) …
recognition and image processing. New CR systems use artificial neural network (ANN) …
[PDF][PDF] Quranic script optical text recognition using deep learning in IoT systems
M Badry, M Hassanin, A Chandio… - CMC-Comput. Mater …, 2021 - cdn.techscience.cn
Since the worldwide spread of internet-connected devices and rapid advances made in
Internet of Things (IoT) systems, much research has been done in using machine learning …
Internet of Things (IoT) systems, much research has been done in using machine learning …
Pengenalan Pola Tulisan Tangan Aksara Bima menggunakan Ciri Tekstur dan KNN
As the fact, that is Bima script did not familiar to bimanese, Bima script as a cultural heritage
needs to be preserved. Pattern recognition has been used to recognize several of ancient …
needs to be preserved. Pattern recognition has been used to recognize several of ancient …
Easy recognition of artistic Chinese calligraphic characters
L Yang, Z Wu, T Xu, J Du, E Wu - The Visual Computer, 2023 - Springer
Chinese calligraphy is one of the excellent expressions of Chinese traditional art. But people
without domain knowledge of calligraphy can hardly read, appreciate, or learn this art form …
without domain knowledge of calligraphy can hardly read, appreciate, or learn this art form …
[PDF][PDF] Metaheuristic algorithm for capital letters images recognition
MJ Al-Shamdeen, AN Younis, HA Younis - Computer Science, 2020 - researchgate.net
This work aims at identifying the pattern of English capital letters printed in JPG graphic
images via a computer system that converts these images and edits them electronically to …
images via a computer system that converts these images and edits them electronically to …