Morphology‐Based Spell Checker for Dawurootsuwa Language
Processing of textual information by using word‐processing tools is extremely increased due to the presence of misspelled or erroneous words. In order to minimize these misspelled words from digital information, different spellchecker tools are needed.
Dawit Tadesse Gamu +2 more
wiley +1 more source
A survey on methods, datasets and implementations for scene text spotting
Abstract Text Spotting is the union of the tasks of detection and transcription of the text that is present in images. Due to the various problems often found when retrieving text, such as orientation, aspect ratio, vertical text or multiple languages in the same image, this can be a challenging task.
Pablo Blanco‐Medina +3 more
wiley +1 more source
Character Recognition of Arabic Handwritten Characters Using Deep Learning
Optical character recognition (OCR) is used to digitize texts in printed documents and camera images. The most basic step in the OCR process is character recognition.
Mohammed Widad Jbrail +1 more
doaj +1 more source
Geotechnical Characteristic Assessments of Floodplain Soils Using SCPTU Data in Nanjing, China
In order to improve the understanding of such floodplain sediments and determining the validity of the tests, an extensive series of multifunctional seismic piezocone tests with pore pressure dissipation phase have been performed and supplemented with conventional borings, standard penetration, laboratory testing, and so forth.
Mingfei Zhang +3 more
wiley +1 more source
An Enhanced Offline Printed Arabic OCR Model Based on Bio-Inspired Fuzzy Classifier
In the recent few years, there was a concentrated search on Arabic Optical Character Recognition (OCR), especially the recognition of scanned, offline, machine-printed documents.
Saad Mohamed Darwish +1 more
doaj +1 more source
An efficient, font independent word and character segmentation algorithm for printed Arabic text
Characters segmentation is a necessity and the most critical stage in Arabic OCR system. It has attracted the interest of a wide range of researchers. However, the nature of the Arabic cursive script poses extra challenges that need further investigation.
Aziz Qaroush +5 more
doaj +1 more source
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 deep learning models are built to study the effect of different representations of
Masnizah Mohd +3 more
doaj +1 more source
Important New Developments in Arabographic Optical Character Recognition
The Open Islamicate Texts Initiative (OpenITI) team1 —building on the foundational opensource OCR work of the Leipzig University (LU) Alexander von Humboldt Chair for Digital Humanities—has achieved Optical Character Recognition (OCR) accuracy rates for ...
Matthew Thomas Miller
doaj +1 more source
Plate Number Recognition based on Hybrid Techniques
Globally and locally, the number of vehicles is on the rise. It is becoming more and more challenging for authorities to track down specific vehicles. Automatic License Plate Recognition becomes an addition to transportation systems automation. Where the
Hawar Hussein Yaba, Hemin Omer Latif
doaj +1 more source
A Unified Multilingual Handwriting Recognition System using multigrams sub-lexical units [PDF]
We address the design of a unified multilingual system for handwriting recognition. Most of multi- lingual systems rests on specialized models that are trained on a single language and one of them is selected at test time.
Paquet, Thierry +2 more
core +2 more sources

