Results 71 to 80 of about 79,075 (205)

Air-GR: An Over-the-Air Handwritten Character Recognition System Based on Coordinate Correction YOLOv5 Algorithm and LGR-CNN. [PDF]

Sensors (Basel), 2023
Zhang Y, Li Z, Yang Z, Yuan B, Liu X.
europepmc   +1 more source

Advancements in CNN Architectures for Offline Handwritten Arabic Character Recognition [PDF]

E3S Web of Conferences
Analyzing and classifying images of Arabic handwritten characters is crucial for text understanding and interpretation from image data. The recognition of handwritten Arabic characters not only preserves the integrity of the Arabic language but also ...
El Ibrahimi Aissam, Elzaar Abdellah, El Akchioui Nabil, Benaya Nabil, El Allati Abderrahim   +4 more
doaj   +1 more source

VashaNet: An automated system for recognizing handwritten Bangla basic characters using deep convolutional neural network

Machine Learning with Applications
Automated character recognition is currently highly popular due to its wide range of applications. Bengali handwritten character recognition (BHCR) is an extremely difficult issue because of the nature of the script.
Mirza Raquib, Mohammad Amzad Hossain, Md Khairul Islam, Md Sipon Miah   +3 more
doaj   +1 more source

EKSTRAKSI FITUR AKSARA BALI MENGGUNAKAN METODE ZONING

Majalah Ilmiah Teknologi Elektro, 2015
Feature extraction is an important process in character recognition system. The purpose of this process is to obtain special feature from a character image.
I Wayan Agus Surya Darma, I K. G. Darma Putra, Made Sudarma   +2 more
doaj  

Kurdish standard EMNIST-like character dataset

Data in Brief
A dataset was created by collecting handwritten samples of distinct Kurdish characters. The dataset consists primarily of 58 characters, and approximately 3800 adult volunteers who are native Kurdish speakers participated in the collection process.
Hamsa D. Majeed, Goran Saman Nariman, Renas Sardar Azeez, Bawar Bilal Abdulqadir   +3 more
doaj   +1 more source

Handwritten Amharic Word Recognition With Additive Attention Mechanism

IEEE Access
Amharic stands as the second most widely spoken Semitic language globally, trailing only Arabic. As a result, it is a highly resourceful language for hardcopy-document collection, and automatic recognition technology is required.
Ruchika Malhotra, Maru Tesfaye Addis
doaj   +1 more source

Arabic Handwritten Letters Recognition Using Convolutional Neural Networks

Advances in Electrical and Computer Engineering
Arabic handwriting recognition is a complex task due to the script’s cursive nature, the presence of diacritics, character positioning, connected letters, and variations in individual writing styles.
SIDAOUI, B., KAOUAN, M.
doaj   +1 more source

Handwritten Amharic Character Recognition Through Transfer Learning: Integrating CNN Models and Machine Learning Classifiers

IEEE Access
Handwritten Amharic character recognition presents significant challenges due to the script’s syllabic nature and variations in handwriting styles. This study investigates a hybrid approach that integrates convolutional neural networks (CNNs) with
Natenaile Asmamaw Shiferaw, Zefree Lazarus Mayaluri, Prabodh Kumar Sahoo, Ganapati Panda, Prince Jain, Adyasha Rath, Md. Shabiul Islam, Mohammad Tariqul Islam   +7 more
doaj   +1 more source

Handwritten Sindhi Character Recognition Using Neural Networks

Mehran University Research Journal of Engineering and Technology, 2018
OCR (OpticalCharacter Recognition) is a technology in which text image is used to understand and write text by machines. The work on languages containing isolated characters such as German, English, French and others is at its peak.
Shafique Ahmed Awan, Zahid Hussain Abro, Akhtar Hussain Jalbani, Dil Nawaz Hakro, Maryam Hameed   +4 more
doaj  

Video Based Handwritten Characters Recognition

, 2010
In this chapter, we firstly designed an adaptive skin color model for fingertip extraction and its application to handwritten character recognition. A cheap webcam is used to serve as the input device and the forefinger tip is extracted by integrating skin-color, motion, curvature, and its relatively higher position.
openaire   +3 more sources