Handwritten Multi-Scale Chinese Character Detector with Blended Region Attention Features and Light-Weighted Learning

M Alnaasan, S Kim - Sensors, 2023 - mdpi.com
Character-level detection in historical manuscripts is one of the challenging and valuable
tasks in the computer vision field, related directly and effectively to the recognition task. Most …

[PDF][PDF] Graph based Method for Online Handwritten Character Recognition.

R Zitouni, H Bezine, N Arous - VISIGRAPP (1: GRAPP), 2020 - scitepress.org
In this research, we attempt to propose a novel graph-based approach for online
handwritten character recognition. Unlike the most well-known online handwritten …

[PDF][PDF] Real Time Character Recognition using Convolution Neural Network

SA Gassi, RP Singh, M Mehra - academia.edu
Handwritten recognition of character (HCR) is a significant element in the current world and
one of the focused fields in image processing and pattern recognition research. Handwritten …

Hierarchical Structurization of the Terms Network for Integrity Evaluation of the Big Terminological Texts

IS Pavlovskiy - … of large-scale system development"(MLSD, 2018 - ieeexplore.ieee.org
The report is devoted to the evaluation of the integrity of large terminological texts based on
the hierarchical structuring of a network of terms with a previously unknown character of the …

ИЕРАРХИЧЕСКАЯ СТРУКТУРИЗАЦИЯ СЕТИ ТЕРМИНОВ В ЗАДАЧЕ ОЦЕНКИ ЦЕЛОСТНОСТИ БОЛЬШИХ ТЕРМИНОЛОГИЧЕСКИХ ТЕКСТОВ

ИС Павловский - … РАЗВИТИЕМ КРУПНОМАСШТАБНЫХ СИСТЕМ …, 2018 - elibrary.ru
Доклад посвящен оценке целостности больших терминологических текстов на основе
иерархической структуризации сети терминов при заранее неизвестном характере …

[PDF][PDF] METAHEURISTIC APPROACH ON FEATURE EXTRACTION AND CLASSIFICATION ALGORITHM FOR HANDWRITTEN CHARACTER RECOGNITION

MA Mohamad - 2019 - eprints.utm.my
ABSTRACT Handwritten Character Recognition (HCR) is a process of converting
handwritten text into machine readable form and it comprises three stages; preprocessing …