Results 31 to 40 of about 1,922 (260)

Recognition of Handwritten Character of Manipuri Script

Journal of Computers, 2010
In this paper a backpropagation neural network based handwritten characters (Mapum Mayek ) recognition system of Manipuri Script is investigated. This paper presents various steps involved in the recognition process. It begins with thresholding of gray level image into binarised image, then from the binarised image the character pattern is segmented ...
Tangkeshwar Thokchom, P. K. Bansal, Renu Vig, Seema Bawa   +3 more
openaire   +1 more source

Metrics and Models for Handwritten Character Recognition [PDF]

Statistical Science, 1997
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Hastie, Trevor, Simard, Patrice Y.
openaire   +3 more sources

A New Hybrid Convolutional Neural Network and eXtreme Gradient Boosting Classifier for Recognizing Handwritten Ethiopian Characters

IEEE Access, 2020
Handwritten character recognition has been profoundly studied for many years in the field of pattern recognition. Due to its vast practical applications and financial implications, the handwritten character recognition is still an important research area.
Halefom Tekle Weldegebriel, Han Liu, Anwar Ul Haq, Emmanuel Bugingo, Defu Zhang   +4 more
doaj   +1 more source

Student handwritten mathematical formula recognition model combining EfficientNet and GNN

Systems and Soft Computing
Recognizing handwritten mathematical formulas in student test papers can greatly increase the scoring speed. However, due to the instability of handwritten mathematical formulas, such as irregular writing and character distortion, the recognition effect ...
Jimin Guo
doaj   +1 more source

uTHCD: A New Benchmarking for Tamil Handwritten OCR

IEEE Access, 2021
The robustness of a typical Handwritten character recognition system relies on the availability of comprehensive supervised data samples. There has been considerable work reported in the literature about creating the database for several Indic scripts ...
Noushath Shaffi, Faizal Hajamohideen
doaj   +1 more source

Multimodal Handwritten Exam Text Recognition Based on Deep Learning

Applied Sciences
To address the complex challenge of recognizing mixed handwritten text in practical scenarios such as examination papers and to overcome the limitations of existing methods that typically focus on a single category, this paper proposes MHTR, a Multimodal
Hua Shi, Zhenhui Zhu, Chenxue Zhang, Xiaozhou Feng, Yonghang Wang   +4 more
doaj   +1 more source

Designing Offline Arabic Handwritten Isolated Character Recognition System using Artificial Neural Network Approach

International Journal of Technology, 2017
The Arabic language is one of the major languages that has little attention in character recognition field by Arab researchers in particular and foreign researchers in general.
Ahmed Subhi Abdalkafor
doaj   +1 more source

Spectrally Selective Bipolar Self‐Powered Opto‐Synaptic Responses in Tandem 2D van Der Waals Ferroelectric Heterojunctions

Advanced Functional Materials, EarlyView.
Tandem 2D vdW ferroelectric heterojunctions enable spectrally selective, self‐powered bipolar opto‐synaptic responses for retinal ON/OFF bipolar cell emulation and wavelength‐programmable logic operations. This work establishes vdW ferroelectric heterojunctions as a compelling materials platform for energy‐efficient, adaptive, and human‐like artificial
Rajiv Kumar Pandey, Chang Yong Park, Cheolhwa Jang, Taeho Kang, Sungjoo Lee   +4 more
wiley   +1 more source

Ferroelectric Quantum Dots for Retinomorphic In‐Sensor Computing

Advanced Materials, EarlyView.
This work has provided a protocol for fabricating retinomorphic phototransistors by integrating ferroelectric ligands with quantum dots. The resulting device combines ferroelectricity, optical responsiveness, and low‐power operation to enable adaptive signal amplification and high recognition accuracy under low‐light conditions, while supporting ...
Tingyu Long, Huanyu Zhou, Jaewan Ko, Hongwei Tan, Jaemin Lim, Yanfei Zhao, Daehan Kang, Eojin Yoon, Gyeong‐Tak Go, Somin Kim, Seung‐Woo Lee, Chan‐Yul Park, Hyojun Choi, Hyeran Kim, Hyung Joong Yun, Sung Hyuk Park, Kwan Sik Park, Jeong Woo Park, Mungeun Kim, Yong Soo Cho, Ho Won Jang, Wenqiang Yang, Min Hyuk Park, Wan Ki Bae, Sebastiaan van Dijken, Joona Bang, Tae‐Woo Lee   +26 more
wiley   +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