Results 21 to 30 of about 29,591 (137)
Survey of Post-OCR Processing Approaches
ACM Computing Surveys, 2021 Optical character recognition (OCR) is one of the most popular techniques used for converting printed documents into machine-readable ones. While OCR engines can do well with modern text, their performance is unfortunately significantly reduced on ...
Thi-Tuyet-Hai Nguyen +3 more
semanticscholar +1 more source
Extent of optico-carotid recess is significantly associated with presence of bony dehiscences and bone thickness in the optico-carotid area [PDF]
Rhinology Online, 2021 Background: The objectives of this study were to evaluate the frequency of bony dehiscences in the optico-carotid recess (OCR) area and to measure the thickness of the bony lamellas bordering the OCR, according to our previously proposed OCR ...
A. Andrianakis +8 more
doaj +1 more source
A Survey of OCR in Arabic Language: Applications, Techniques, and Challenges
Applied Sciences, 2023 Optical character recognition (OCR) is the process of extracting handwritten or printed text from a scanned or printed image and converting it to a machine-readable form for further data processing, such as searching or editing. Automatic text extraction
S. Faizullah +3 more
semanticscholar +1 more source
OCR-VQGAN: Taming Text-within-Image Generation [PDF]
IEEE Workshop/Winter Conference on Applications of Computer Vision, 2022 Synthetic image generation has recently experienced significant improvements in domains such as natural image or art generation. However, the problem of figure and diagram generation remains unexplored.
Juan A. Rodriguez +4 more
semanticscholar +1 more source
Automatic License Plate Recognition: A Review with Indonesian Case Study
Scientific Journal of Informatics, 2018 The Automatic License Plate Recognition (ALPR) has been becoming a new trend in transportation systems automation. The extraction of vehicle’s license plate can be done without human intervention.
Aris Budianto
doaj +1 more source
Non-Redundant Contour Directional Feature Vectors for Character Recognition [PDF]
EAI Endorsed Transactions on Creative Technologies, 2020 This paper presents a novel shape based feature for printed character recognition. The shape features are derived from the contour of the character which is unique to all characters. Preprocessing is performed to standardize the characters and handle all
Tusar Mishra +2 more
doaj +1 more source
Analysis of Recent Deep Learning Techniques for Arabic Handwritten-Text OCR and Post-OCR Correction
Applied Sciences, 2023 Arabic handwritten-text recognition applies an OCR technique and then a text-correction technique to extract the text within an image correctly. Deep learning is a current paradigm utilized in OCR techniques.
Rayyan Najam, S. Faizullah
semanticscholar +1 more source
ICDAR2019 Competition on Scanned Receipt OCR and Information Extraction [PDF]
IEEE International Conference on Document Analysis and Recognition, 2019 The ICDAR 2019 Challenge on "Scanned receipts OCR and key information extraction" (SROIE) covers important aspects related to the automated analysis of scanned receipts.
Zheng Huang +6 more
semanticscholar +1 more source
Inf., 2023 Advanced artificial intelligence (AI) techniques have led to significant developments in optical character recognition (OCR) technologies. OCR applications, using AI techniques for transforming images of typed text, handwritten text, or other forms of ...
P. Jain +5 more
semanticscholar +1 more source
A Multiplexed Network for End-to-End, Multilingual OCR [PDF]
Computer Vision and Pattern Recognition, 2021 Recent advances in OCR have shown that an end-to-end (E2E) training pipeline that includes both detection and recognition leads to the best results.
Jing Huang +7 more
semanticscholar +1 more source