Results 31 to 40 of about 160,627 (312)
A critical transformation from hydrogen‐bonded trimers to π–π stacked tetramers is unveiled by microwave spectroscopy, highlighting dispersion as a key force in directing carboxylic acid aggregation. ABSTRACT Carboxylic acids critically influence atmospheric chemistry by modulating acidity, new particle formation, and aerosol growth.
Jingling Hong +3 more
wiley +2 more sources
Arabic Character Recognition: Progress and Challenges
AbstractAn optical character recognition (OCR) system may provide a solution to the data entry problems, a bottleneck for the data processing industry. Therefore, OCR systems are being developed for almost all major languages and Arabic language is no exception to it.
Ahmed, Pervez, Al-Ohali, Yousef
openaire +1 more source
Efficient Genetic Algorithms for Arabic Handwritten Characters Recognition [PDF]
The main challenge in Arabic handwritten character recognition involves the development of a method that can generate descriptions of the handwritten objects in a short period of time high recognition rate.
Laheeb Ibrahim
doaj +1 more source
Deep learning based isolated Arabic scene character recognition [PDF]
The technological advancement and sophistication in cameras and gadgets prompt researchers to have focus on image analysis and text understanding. The deep learning techniques demonstrated well to assess the potential for classifying text from natural scene images as reported in recent years. There are variety of deep learning approaches that prospects
Ahmed, Saad Bin +3 more
openaire +2 more sources
Arabic Character Recognition based on Statistical Features - A Comparative Study
This paper presents a comparative study for Arabic optical character recognition techniques according to statistic approach. So, the current work consists in experimenting character image characterization and matching to show the most robust and reliable
M. Kchaou +3 more
semanticscholar +1 more source
This paper highlights a novel strategy for online Arabic text recognition using a hybrid Genetic Algorithm (GA) and Harmony Search algorithm (HS). The strategy is divided into two phases: text segmentation using dominant point detection, and recognition ...
Moayad Yousif Potrus +2 more
doaj +1 more source
Deep Sparse Auto-Encoder Features Learning for Arabic Text Recognition
One of the most recent challenging issues of pattern recognition and artificial intelligence is Arabic text recognition. This research topic is still a pervasive and unaddressed research field, because of several factors.
Najoua Rahal +3 more
doaj +1 more source
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 computer-aided recognition (ArCAR) is proposed to represent and ...
Abdullah Y. Muaad +3 more
doaj +1 more source
Towards Accurate Children’s Arabic Handwriting Recognition via Deep Learning
Automatic handwriting recognition has received considerable attention over the past three decades. Handwriting recognition systems are useful for a wide range of applications.
Anfal Bin Durayhim +3 more
doaj +1 more source
A Genetic-LVQ neural networks approach for handwritten Arabic character recognition
Handwritten recognition systems are a dynamic field of research in areas of artificial intelligence. Many smart devices available in the market such as pen-based computers, tablets, mobiles with handwritten recognition technology need to rely on ...
A. Alharbi
semanticscholar +1 more source

