Results 71 to 80 of about 5,692 (199)
A fine-grained approach to scene text script identification
, 2016 This paper focuses on the problem of script identification in unconstrained scenarios. Script identification is an important prerequisite to recognition, and an indispensable condition for automatic text understanding systems designed for multi-language ...
Gomez, Lluis, Karatzas, Dimosthenis
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A Word & Character N-Gram based Arabic OCR Error Simulation model [PDF]
INTERNATIONAL JOURNAL OF COMPUTERS & TECHNOLOGY, 2014 This paper provides a new model aimed to enhanceArabic OCR degraded text retrieval effectiveness. The proposed model based onsimulating the Arabic OCR recognition mistakesbased on both, word based and Character N-Gram approaches. Then we expand the user search query using the expected OCR errors. The resulting search query expanded gives high precision
Mostafa Ezzat +2 more
openaire +1 more source
FloraTraiter: Automated parsing of traits from descriptive biodiversity literature
Applications in Plant Sciences, Volume 12, Issue 1, January-February 2024.Abstract Premise Plant trait data are essential for quantifying biodiversity and function across Earth, but these data are challenging to acquire for large studies. Diverse strategies are needed, including the liberation of heritage data locked within specialist literature such as floras and taxonomic monographs.
Ryan A. Folk +2 more
wiley +1 more source
Journal of Sensors, Volume 2024, Issue 1, 2024.Smart parking systems play a vital role in enhancing the efficiency and sustainability of smart cities. However, most existing systems depend on sensors to monitor the occupancy of parking spaces, which entail high installation and maintenance costs and limited functionality in tracking vehicle movement within the car park. To address these challenges,
Mejdl Safran +3 more
wiley +1 more source
Open Datasets and Tools for Arabic Text Detection and Recognition in News Video Frames
Journal of Imaging, 2018 Recognizing texts in video is more complex than in other environments such as scanned documents. Video texts appear in various colors, unknown fonts and sizes, often affected by compression artifacts and low quality. In contrast to Latin texts, there are
Oussama Zayene +4 more
doaj +1 more source
IEEE Access, 2020 Accomplishing high recognition performance is considered one of the most important tasks for handwritten Arabic character recognition systems. In general, Optical Character Recognition (OCR) systems are constructed from four phases: pre-processing ...
Ahmed Talat Sahlol +3 more
doaj +1 more source
Image processing for the extraction of nutritional information from food labels [PDF]
, 2015 Current techniques for tracking nutritional data require undesirable amounts of either time or man-power. People must choose between tediously recording and updating dietary information or depending on unreliable crowd-sourced or costly maintained ...
Matsunaga, Nate, Sullivan, Rick
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Neural Networks for Handwritten English Alphabet Recognition
, 2012 This paper demonstrates the use of neural networks for developing a system that can recognize hand-written English alphabets. In this system, each English alphabet is represented by binary values that are used as input to a simple feature extraction ...
Chaturvedi, Ashish, Perwej, Yusuf
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Designing an OCR-Based Medication Support System With Drug–Drug Interaction Alerts for Elderly
IEEE AccessMedication adherence and safety remain major healthcare challenges for elderly populations, particularly within Arabic-speaking communities. Managing multiple prescriptions (polypharmacy) increases the risk of medication errors and adverse drug– ...
Ohoud Mosa Alharbi
doaj +1 more source
, 2017 Handwritten character recognition has been the center of research and a benchmark problem in the sector of pattern recognition and artificial intelligence, and it continues to be a challenging research topic.
Ashiquzzaman, Akm +2 more
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