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 …
Quranic optical text recognition using deep learning models
A Quranic optical character recognition (OCR) system based on convolutional neural
network (CNN) followed by recurrent neural network (RNN) is introduced in this work. Six …
network (CNN) followed by recurrent neural network (RNN) is introduced in this work. Six …
Offline cursive Urdu-Nastaliq script recognition using multidimensional recurrent neural networks
Abstract Optical Character Recognition of cursive scripts remains a challenging task due to a
large number of character shapes, inter-and intra-word overlaps, context sensitivity and …
large number of character shapes, inter-and intra-word overlaps, context sensitivity and …
Bluenet-a new scatternet formation scheme
Bluetooth is a novel promising local area wireless technology designed to enable voice and
data communication among various electronic devices. We believe that Bluetooth networks …
data communication among various electronic devices. We believe that Bluetooth networks …
[PDF][PDF] A review of arabic text recognition dataset
ABSTRACT Building a robust Optical Character Recognition (OCR) system for languages,
such as Arabic with cursive scripts, has always been challenging. These challenges …
such as Arabic with cursive scripts, has always been challenging. These challenges …
Efficient, lexicon-free OCR using deep learning
M Namysl, I Konya - 2019 international conference on …, 2019 - ieeexplore.ieee.org
Contrary to popular belief, Optical Character Recognition (OCR) remains a challenging
problem when text occurs in unconstrained environments, like natural scenes, due to …
problem when text occurs in unconstrained environments, like natural scenes, due to …
Hardware architecture of bidirectional long short-term memory neural network for optical character recognition
V Rybalkin, N Wehn, MR Yousefi… - Design, Automation & …, 2017 - ieeexplore.ieee.org
Optical Character Recognition is conversion of printed or handwritten text images into
machine-encoded text. It is a building block of many processes such as machine translation …
machine-encoded text. It is a building block of many processes such as machine translation …
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 …
Deep network with pixel-level rectification and robust training for handwriting recognition
S Xiao, L Peng, R Yan, S Wang - SN Computer Science, 2020 - Springer
Offline handwriting recognition is a well-known challenging task in the optical character
recognition field due to the difficulty caused by various unconstrained handwriting styles and …
recognition field due to the difficulty caused by various unconstrained handwriting styles and …
Recognition of historical Greek polytonic scripts using LSTM networks
F Simistira, A Ul-Hassan… - 2015 13th …, 2015 - ieeexplore.ieee.org
This paper reports on high-performance Optical Character Recognition (OCR) experiments
using Long Short-Term Memory (LSTM) Networks for Greek polytonic script. Even though …
using Long Short-Term Memory (LSTM) Networks for Greek polytonic script. Even though …