Results 11 to 20 of about 15,914 (306)

Raspbraille: Conversion to Braille Alphabet with Optical Character Recognition and Voice Recognition Algorithm

open access: yesHittite Journal of Science and Engineering, 2022
It is quite difficult for visually impaired individuals to read a physically printed material. It is a necessity to provide information flow and communication between visually impaired individuals and other individuals.
Büşra Büyüktanır   +3 more
doaj   +1 more source

Kurdish Text Segmentation using Projection-Based Approaches

open access: yesUHD 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

Implementasi OCR dengan Metode Autoencoder pada Aplikasi Bukutamu berbasis WEB

open access: yesJurnal Komputer Terapan, 2022
Bukutamu adalah alat untuk mencatat identitas pengunjung yang datang kesuatu tempat atau acara seperti acara pernikahan, perayaan ulang tahun, pesta dll.
Muhamad Aldi Rizaldi, Emil R. Kaburuan
doaj   +1 more source

Implementation of OCR (Optical Character Recognition) Using Tesseract in Detecting Character in Quotes Text Images

open access: yesJournal of Applied Engineering and Technological Science, 2022
The development of technology in Indonesia is currently increasingly advanced in people's lives and cannot be avoided. The use of Artificial Intelligence in helping humans in dealing with problems is growing.
Ikha Novie Tri Lestari   +1 more
doaj   +1 more source

Urdu Optical Character Recognition Technique for Jameel Noori Nastaleeq Script

open access: yesJISR on Computing, 2015
Urdu OCR’s have been an object of interest for many developers in the recent years. Active research is being done pertaining to Urdu OCR’s, but because of the complexity associated with Urdu fonts; it still lacks perfection halting it from coming up to ...
Engr. Reema Qaiser Khan   +1 more
doaj   +1 more source

OCR FOR ENGLISH CHARACTERS BASED ON POLAR HISTOGRAM FEATURE EXTRACTION AND EUCLIDEAN DISTANCE

open access: yesYanbu Journal of Engineering and Science, 2019
Optical character recognition is the process of converting characters from image format to text format. The process includes four main stages namely: pre-processing, feature extraction, character recognition, and post-processing.
Saleh Ali Alshehri
doaj   +1 more source

Using K-Nearest Neighbor in Optical Character Recognition

open access: yesComTech, 2016
The growth in computer vision technology has aided society with various kinds of tasks. One of these tasks is the ability of recognizing text contained in an image, or usually referred to as Optical Character Recognition (OCR).
Veronica Ong, Derwin Suhartono
doaj   +1 more source

Multi-Lingual Optical Character Recognition System Using the Reinforcement Learning of Character Segmenter

open access: yesIEEE Access, 2020
In this article, we present a new multi-lingual Optical Character Recognition (OCR) system for scanned documents. In the case of Latin characters, current open source systems such as Tesseract provide very high accuracy.
Jaewoo Park   +5 more
doaj   +1 more source

IMPLEMENTATION OF REJECTION STRATEGIES INSIDE MALAYALAM CHARACTER RECOGNITION SYSTEM BASED ON RANDOM FOURIER FEATURES AND REGULARIZED LEAST SQUARE CLASSIFIER [PDF]

open access: yesJournal of Engineering Science and Technology, 2018
Robust and reliable recognition are indeed necessary requirements for optical character recognition systems. Distortions present in the document image and the pre-processing errors cause the optical character recognition system to apply rejection ...
MANJUSHA K, ANAND KUMAR M., SOMAN K. P.
doaj  

Important New Developments in Arabographic Optical Character Recognition

open access: yesAl-'Usur al-Wusta, 2017
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

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