Attention-based CNN-RNN Arabic text recognition from natural scene images
According to statistics, there are 422 million speakers of the Arabic language. Islam is the
second-largest religion in the world, and its followers constitute approximately 25% of the …
second-largest religion in the world, and its followers constitute approximately 25% of the …
Cursive text recognition in natural scene images using deep convolutional recurrent neural network
Text recognition in natural scene images is a challenging problem in computer vision.
Different than the optical character recognition (OCR), text recognition in natural scene …
Different than the optical character recognition (OCR), text recognition in natural scene …
A novel dataset for English-Arabic scene text recognition (EASTR)-42K and its evaluation using invariant feature extraction on detected extremal regions
The recognition of text in natural scene images is a practical yet challenging task due to the
large variations in backgrounds, textures, fonts, and illumination. English as a secondary …
large variations in backgrounds, textures, fonts, and illumination. English as a secondary …
Text recognition model based on multi-scale fusion CRNN
L Zou, Z He, K Wang, Z Wu, Y Wang, G Zhang, X Wang - Sensors, 2023 - mdpi.com
Scene text recognition is a crucial area of research in computer vision. However, current
mainstream scene text recognition models suffer from incomplete feature extraction due to …
mainstream scene text recognition models suffer from incomplete feature extraction due to …
ArCAR: a novel deep learning computer-aided recognition for character-level Arabic text representation and recognition
AY Muaad, H Jayappa, MA Al-antari, S Lee - Algorithms, 2021 - mdpi.com
Arabic text classification is a process to simultaneously categorize the different contextual
Arabic contents into a proper category. In this paper, a novel deep learning Arabic text …
Arabic contents into a proper category. In this paper, a novel deep learning Arabic text …
A hybrid deep learning model for arabic text recognition
Arabic text recognition is a challenging task because of the cursive nature of Arabic writing
system, its joint writing scheme, the large number of ligatures and many other challenges …
system, its joint writing scheme, the large number of ligatures and many other challenges …
Arabic cursive text recognition from natural scene images
This paper presents a comprehensive survey on Arabic cursive scene text recognition. The
recent years' publications in this field have witnessed the interest shift of document image …
recent years' publications in this field have witnessed the interest shift of document image …
Cursive character recognition in natural scene images using a multilevel convolutional neural network fusion
The accuracy of current natural scene text recognition algorithms is limited by the poor
performance of character recognition methods for these images. The complex backgrounds …
performance of character recognition methods for these images. The complex backgrounds …
Unconstrained scene text and video text recognition for arabic script
Building robust recognizers for Arabic has always been challenging. We demonstrate the
effectiveness of an end-to-end trainable CNN-RNN hybrid architecture in recognizing Arabic …
effectiveness of an end-to-end trainable CNN-RNN hybrid architecture in recognizing Arabic …
Scene text recognition using residual convolutional recurrent neural network
Text is a significant tool for human communication, and text recognition in scene images
becomes more and more important. In this paper, we propose a residual convolutional …
becomes more and more important. In this paper, we propose a residual convolutional …