Advancements and Challenges in Arabic Optical Character Recognition: A Comprehensive Survey
Optical character recognition (OCR) is a vital process that involves the extraction of
handwritten or printed text from scanned or printed images, converting it into a format that …
handwritten or printed text from scanned or printed images, converting it into a format that …
Stacking ensemble model of deep learning and its application to Persian/Arabic handwritten digits recognition
F Haghighi, H Omranpour - Knowledge-Based Systems, 2021 - Elsevier
One of the challenges in recognizing handwritten texts is the individual style of writing. There
is the structural similarity of the different digits to each other in writing. Along with the …
is the structural similarity of the different digits to each other in writing. Along with the …
Threshold center-symmetric local binary convolutional neural networks for bilingual handwritten digit recognition
The writing style of the same writer varies from instance to instance in Arabic and English
handwritten digit recognition, making handwritten digit recognition challenging. Currently …
handwritten digit recognition, making handwritten digit recognition challenging. Currently …
Persian handwritten digit, character and word recognition using deep learning
In spite of various applications of digit, letter and word recognition, only a few studies have
dealt with Persian scripts. In this paper, deep neural networks are utilized through different …
dealt with Persian scripts. In this paper, deep neural networks are utilized through different …
Optical character recognition (OCR) using partial least square (PLS) based feature reduction: an application to artificial intelligence for biometric identification
Purpose In artificial intelligence, the optical character recognition (OCR) is an active
research area based on famous applications such as automation and transformation of …
research area based on famous applications such as automation and transformation of …
A recognition model for handwritten Persian/Arabic numbers based on optimized deep convolutional neural network
Recently, artificial intelligence-based applications are universally acknowledged. Digit
recognition, particularly Persian/Arabic handwritten digits, has many applications in today's …
recognition, particularly Persian/Arabic handwritten digits, has many applications in today's …
Features extraction and reduction techniques with optimized SVM for Persian/Arabic handwritten digits recognition
Recognizing handwritten digits is one of the most active research areas in computer vision,
as there are a variety of applications, such as automatic identification of digits in bank …
as there are a variety of applications, such as automatic identification of digits in bank …
Multi-cnn voting method for improved arabic handwritten digits classification
AF Rasheed, M Zarkoosh… - 2023 9th International …, 2023 - ieeexplore.ieee.org
Handwritten Arabic recognition poses a unique set of challenges due to the intricate nature
of the script, its diverse styles, and the inherent complexity of the Arabic language. With the …
of the script, its diverse styles, and the inherent complexity of the Arabic language. With the …
Study on temperature sensor data anomaly diagnosis method based on deep neural network
W **g, P Wang, N Zhang - Scientific Programming, 2022 - Wiley Online Library
In order to solve the problems of low accuracy and low efficiency of traditional sensor data
anomaly diagnosis methods, a new temperature sensor data anomaly diagnosis method …
anomaly diagnosis methods, a new temperature sensor data anomaly diagnosis method …
Improving Persian Handwritten Digit Recognition using Convolutional Neural Network
H Noori - Journal of Algorithms and Computation, 2024 - jac.ut.ac.ir
Persian digit recognition plays a crucial role in computer vision and pattern recognition.
Existing algorithms fall into two categories: traditional methods and deep learning …
Existing algorithms fall into two categories: traditional methods and deep learning …