Results 21 to 30 of about 15,914 (306)

Deep Learning Approaches for Nusantara Scripts Optical Character Recognition

IJCCS (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, Julian Saputra, Iqsyahiro Kresna, Imada Ramadhanti   +3 more
doaj   +1 more source

Optical Character Recognition for Quranic Image Similarity Matching

IEEE 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, Muhamad Taufik Abdullah, Rusli Bin Hj Abdullah, Rahmita Wirza Binti O. K. Rahmat, Ibrahim Abaker Targio Hashem, Arun Kumar Sangaiah   +5 more
doaj   +1 more source

Character Recognition of Arabic Handwritten Characters Using Deep Learning

Journal 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, Mehmet Emin Tenekeci   +1 more
doaj   +1 more source

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

International 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

Software for Arabic Machine Printed Optical Character Recognition (MACRS) [PDF]

Al-Rafidain Journal of Computer Sciences and Mathematics, 2006
Machine printed Arabic Character Recognition System (MACRS] is concerned with recognition of machine printed alphanumeric Arabic characters. In the present work, characters have been represented (extracted) by using geometric moment invariant (3 order ...
Mahdi Al- Obaidi, Laheeb Ibrahim
doaj   +1 more source

OPTICAL CHARACTER RECOGNITION MENGGUNAKAN ALGORITMA TEMPLATE MATCHING CORRELATION

Jurnal Masyarakat Informatika, 2015
OCR (Optical Character Recognition) adalah suatu solusi yang efektif untuk proses konversi dokumen cetak ke dokumen digital. Permasalahan yang timbul dalam proses pengenalan dokumen komputer adalah bagaimana teknik pengenalan untuk mengidentifikasi ...
Suryo Hartanto, Aris Sugiharto, Sukmawati Nur Endah   +2 more
doaj   +1 more source

BanglaWriting: A multi-purpose offline Bangla handwriting dataset

Data in Brief, 2021
This article presents a Bangla handwriting dataset named BanglaWriting that contains single-page handwritings of 260 individuals of different personalities and ages.
M.F. Mridha, Abu Quwsar Ohi, M. Ameer Ali, Mazedul Islam Emon, Muhammad Mohsin Kabir   +4 more
doaj   +1 more source

Segmentation-free optical character recognition for printed Urdu text

EURASIP Journal on Image and Video Processing, 2017
This paper presents a segmentation-free optical character recognition system for printed Urdu Nastaliq font using ligatures as units of recognition. The proposed technique relies on statistical features and employs Hidden Markov Models for classification.
Israr Ud Din, Imran Siddiqi, Shehzad Khalid, Tahir Azam   +3 more
doaj   +1 more source

The MedSupport Multilevel Intervention to Enhance Support for Pediatric Medication Adherence: Development and Feasibility Testing

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Introduction We developed MedSupport, a multilevel medication adherence intervention designed to address root barriers to medication adherence. This study sought to explore the feasibility and acceptability of the MedSupport intervention strategies to support a future full‐scale randomized controlled trial.
Elizabeth G. Bouchard, Hital Patel, Paula C. Vincent, Justine Kahn, Kira Bona, Thai Hoa Tran, Elisa M. Rodriguez, Kristopher Attwood, Kara M. Kelly   +8 more
wiley   +1 more source

Optical Character Recognition Using Active Contour Segmentation

Journal of Engineering, 2018
Document analysis of images snapped by camera is a growing challenge. These photos are often poor-quality compound images, composed of various objects and text; this makes automatic analysis complicated.
Nabeel Oudah, Maher Faik Esmaile, Estabraq Abdulredaa   +2 more
doaj   +2 more sources