Results 11 to 20 of about 14,132 (259)

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  

Optical Character Recognition for Quranic Image Similarity Matching

open access: yesIEEE Access, 2018
The detection and recognition and then conversion of the characters in an image into a text are called optical character recognition (OCR). A distinctive-type of OCR is used to process Arabic characters, namely, Arabic OCR.
Faiz Alotaibi   +5 more
doaj   +1 more source

Deep Learning Approaches for Nusantara Scripts Optical Character Recognition

open access: yesIJCCS (Indonesian Journal of Computing and Cybernetics Systems), 2023
The number of speakers of regional languages who are able to read and to write traditional scripts in Indonesia is decreasing. If left unaddressed, this will lead to the extinction of Nusantara scripts and it is not impossible that their reading methods ...
Agi Prasetiadi   +3 more
doaj   +1 more source

Character Recognition of Arabic Handwritten Characters Using Deep Learning

open access: yesJournal of Studies in Science and Engineering, 2022
Optical character recognition (OCR) is used to digitize texts in printed documents and camera images. The most basic step in the OCR process is character recognition.
Mohammed Widad Jbrail   +1 more
doaj   +1 more source

Multiclass Recognition of Offline Handwritten Devanagari Characters using CNN [PDF]

open access: yesInternational Journal of Mathematical, Engineering and Management Sciences, 2020
The handwriting style of every writer consists of variations, skewness and slanting nature and therefore, it is a stimulating task to recognise these handwritten documents.
Mamta Bisht , Richa Gupta
doaj   +1 more source

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