Results 31 to 40 of about 2,482 (199)

Which OCR toolset is good and why : A comparative study

Kuwait Journal of Science, 2021
Optical Character Recognition (OCR) is a very active research area in many scientific disciplines like pattern recognition, natural language processing (NLP), computer vision, biomedical informatics, machine learning and artificial intelligence.
Pooja Jain, Kavita Taneja, Harmunish Taneja   +2 more
doaj   +1 more source

Handwritten Character Recognition to Obtain Editable Text [PDF]

E3S Web of Conferences, 2023
Optical character recognition involves distinguishing, grouping, and, in specific cases, remedying optical images/designs in a computerized picture.
Pravalika Jella, Korla Sitara, Kavya Erra, Sravani   +3 more
doaj   +1 more source

Experimental evaluation of Arabic OCR systems [PDF]

International Journal of Crowd Science, 2017
Purpose – The aim of this paper is to experimentally evaluate the effectiveness of the state-of-the-art printed Arabic text recognition systems to determine open areas for future improvements.
Mansoor Alghamdi, William Teahan
doaj   +1 more source

OCR for devanagari script [PDF]

MATEC Web of Conferences
The introduction of Optical Character Recognition (OCR) technology revolutionized text digitization, allowing physical documents to be converted into editable and searchable digital representations.
Singh Mitali, Gayathri Pranava, Kandukuri Prabhakar   +2 more
doaj   +1 more source

Ekstraksi Karakter Plat Nomor Kendaraan Menggunakan Google Vision dan Regex Pattern

Techno.Com
Di era serba AI (Artificial Intelligence) seperti saat ini, penggunaan teknologi Optical Character Recognition (OCR) adalah hal yang lumrah. Salah satunya adalah pada Manless Parking System atau sistem parkir otomatis.
Condro Wibawa, Dessy Tri Anggraeni
doaj   +1 more source

FLIP: A Novel Feedback Learning-Based Intelligent Plugin Towards Accuracy Enhancement of Chinese OCR

Mathematics
Chinese Optical Character Recognition (OCR) technology is essential for digital transformation in Chinese regions, enabling automated document processing across various applications. However, Chinese OCR systems struggle with visually similar characters,
Xinyue Tao, Yueyue Han, Yakai Jin, Yunzhi Wu   +3 more
doaj   +1 more source

Custom OCR for Identity Documents:OCRXNet

Aptisi Transactions on Technopreneurship, 2020
Recent advancements in the area of Optical Character Recognition (OCR) using deep learning techniques made it possible to use for real world applications with good accuracy. In this paper we present a system named as OCRXNet.
Kawal Arora, Ankur Singh Bist, Roshan Prakash, Saksham Chaurasia   +3 more
doaj   +1 more source

OCR—Optical Character Recognition

International Journal for Research in Applied Science and Engineering Technology
Abstract:In many different fields, there is a great need to save the information contained in printed or written documents or ima ges to the computer for later use. An easy way to save the information in these printed documents to your computer is to scan the document and save it as an image file.
openaire   +2 more sources

A Comprehensive Framework for Industrial Sticker Information Recognition Using Advanced OCR and Object Detection Techniques

Applied Sciences, 2023
Recent advancements in Artificial Intelligence (AI), deep learning (DL), and computer vision have revolutionized various industrial processes through image classification and object detection.
Gabriella Monteiro, Leonardo Camelo, Gustavo Aquino, Rubens de A. Fernandes, Raimundo Gomes, André Printes, Israel Torné, Heitor Silva, Jozias Oliveira, Carlos Figueiredo   +9 more
doaj   +1 more source

Kurdish Text Segmentation using Projection-Based Approaches

UHD Journal of Science and Technology, 2021
An optical character recognition (OCR) system may be the solution to data entry problems for saving the printed document as a soft copy of them. Therefore, OCR systems are being developed for all languages, and Kurdish is no exception.
Tofiq Ahmed Tofiq, Jamal Ali Hussein
doaj   +1 more source