Recognition of Arabic Air-Written Letters: Machine Learning, Convolutional Neural Networks, and Optical Character Recognition (OCR) Techniques [PDF]
Sensors (Basel), 2023 Khalid M.O. Nahar +6 more
openalex +2 more sources
The use of Optical Character Recognition (OCR) in the digitisation of herbarium specimen labels. [PDF]
PhytoKeys, 2014 At the Royal Botanic Garden Edinburgh (RBGE) the use of Optical Character Recognition (OCR) to aid the digitisation process has been investigated. This was tested using a herbarium specimen digitisation process with two stages of data entry. Records were initially batch-processed to add data extracted from the OCR text prior to being sorted based on ...
Drinkwater RE, Cubey RW, Haston EM.
europepmc +6 more sources
Attacking Optical Character Recognition (OCR) Systems with Adversarial Watermarks [PDF]
CoRR, 2020 Optical character recognition (OCR) is widely applied in real applications serving as a key preprocessing tool. The adoption of deep neural network (DNN) in OCR results in the vulnerability against adversarial examples which are crafted to mislead the output of the threat model.
Lu Chen, Wei Xu
openalex +3 more sources
Handwritten Optical Character Recognition (OCR): A Comprehensive Systematic Literature Review (SLR)
IEEE Access, 2020 Given the ubiquity of handwritten documents in human transactions, Optical Character Recognition (OCR) of documents have invaluable practical worth. Optical character recognition is a science that enables to translate various types of documents or images
Jamshed Memon +3 more
doaj +3 more sources
Aplikasi Pendeteksi Obat dan Makanan Menggunakan OCR (Optical Character Recognition)
Jurnal informatika UPGRIS, 2018 Makanan merupakan zat terpenting bagi makhluk hidup, baik itu manusia, hewan, maupun tumbuhan. Makanan bisa berupa bahan yang berasal dari tumbuhan ataupun hewan yang diolah oleh manusia sehingga dapat dimakan untuk mendapatkan energi dan bertahan hidup.
Anisya Sonita +1 more
doaj +2 more sources
Optical Character Recognition (OCR) for Telugu: Database, Algorithm and Application [PDF]
2018 25th IEEE International Conference on Image Processing (ICIP), 2018 Accepted to IEEE International Conference on Image Processing ...
Konkimalla Chandra Prakash +4 more
exaly +3 more sources
Integrating CNN and transformer architectures for superior Arabic printed and handwriting characters classification [PDF]
Scientific ReportsOptical Character Recognition (OCR) systems play a crucial role in converting printed Arabic text into digital formats, enabling various applications such as education and digital archiving.
Mohammed R. Al-Maamari +3 more
doaj +2 more sources
A Comparative Study of OCR Architectures for Korean License Plate Recognition: CNN–RNN-Based Models and MobileNetV3–Transformer-Based Models [PDF]
SensorsThis paper presents a systematic comparative study of optical character recognition (OCR) architectures for Korean license plate recognition under identical detection conditions.
Seungju Lee, Gooman Park
doaj +2 more sources
Optical Character Recognition (OCR) Using Opencv and Python
Optical character recognition (OCR) stands as a transformative technology at the intersection of computer vision and document processing. This chapter explores the advancements and challenges in OCR, focusing on methods for extracting text content from images, scanned documents, and other visual media.
A. V. Senthil Kumar +11 more
openalex +2 more sources
MaBaybay-OCR: A Matlab-based Baybayin optical character recognition package
SoftwareXOptical character recognition (OCR) is a state-of-the-art technology that allows automated detection and recognition of text from scanned documents and other images.
Rodney Pino +2 more
doaj +2 more sources