[PDF][PDF] An approach to analysis of Arabic text documents into text lines, words, and characters

HA Abdo, A Abdu, RR Manza… - Indonesian Journal of …, 2022 - academia.edu
Text line extraction from a text document image and segmenting it into isolate words and
segmenting these words into individual characters are considered as one of the most critical …

[PDF][PDF] Normal and abnormal red blood cell recognition using image processing

HA Aliyu, MAA Razak, R Sudirman - Indonesian Journal of Electrical …, 2019 - academia.edu
In medical field, the recognition of red blood cells (RBC) is used as an indicator to detect the
type of diseases such as anaemia, malaria and leukaemia etc. The problems using manual …

A novel content detection approach for handwritten english letters

M Karthi, R Priscilla, KS Jafer - Procedia Computer Science, 2020 - Elsevier
Abstract The rise of Artificial Intelligence technology along with machine and deep learning
are opening up almost limitless possibilities. There is also an element of fear towards this …

The Implementation of Artificial Neural Network (ANN) on Offline Cursive Handwriting Image Recognition

F Fitrianingsih, DT Susetianingtias, D Pernadi… - ILKOM Jurnal …, 2022 - 103.133.36.110
Identifying a writing is an easy thing to do for human, but this does not apply to computers, in
particular if it is handwriting. Handwriting recognition, especially cursive handwriting is a …

Automated segmentation and detection of T1-weighted magnetic resonance imaging brain images of glioma brain tumor

NHIM Zaihani, R Roslan, Z Ibrahim… - Bulletin of Electrical …, 2020 - beei.org
There are numerous studies on brain imaging applications. The statistics in Malaysia
showed that glioma is one of the most common type disease in brain tumor. Glioma brain …

[PDF][PDF] Offline Cursive Handwriting Recognition using Convolutional Neural Network

M Jose, P Kumar - Journal of Xidian University, 2021 - researchgate.net
Handwriting is one of the mostly accepted and natural means of communication among the
people across the globe. Handwriting recognition has always been a challenge due to the …

Pembentukan Model Recurrent Neural Network dan Connectionist Temporal Classification Pada Pengenalan Kata Tulisan Tangan Offline

DT Susetianingtias, R Arianty… - Decode: Jurnal …, 2023 - journal.umkendari.ac.id
Pengolahan informasi sebagai bentuk dari pengembangan teknologi yang semakin pesat
adalah pengenalan tulisan tangan. Pengenalan tulisan tangan saat ini banyak …

State of the Art Recurrent Neural Network with Bidirectional Long Short-Term Memory for Cursive Handwriting Recognition

M Jose, PK Udupi - International Conference on Intelligent Systems in …, 2023 - Springer
Handwriting is a natural and one of the popular way of communication and it has always
been a challenge to recognize it as it can be written in different ways by the same writer …

온라인한글필기인식을위한전처리알고리즘개발

장문수, 김성석 - 한국지능시스템학회논문지, 2024 - dbpia.co.kr
최근 인공지능 기술이 발전하면서 상당히 진화된 응용 서비스가 제공되고 있다. 이러한
인공지능 기술은 대용량 데이터, 고성능 처리 인프라, 복잡한 모델을 필요로 한다. 하지만 모든 …

[PDF][PDF] The impact of the image processing in the indexation system

Y Elfakir, G Khaissidi, M Mrabti… - International Journal of …, 2019 - academia.edu
Old handwritten Arabic documents are part of the richest cultural heritage and contains a
wealth of information. The repetitive manipulation of these manuscripts should be avoided …