检索结果-南通市图书馆

Hybrid Trainable System for Writer Identification of Arabic Handwriting

Computers, Materials & Continua 2021年第9期68卷 3353-3372页

作者： saleem ibraheem saleem Adnan Mohsin Abdulazeez Department of Information Technology Technical Informatics College of AkreDuhok Polytechnic UniversityDuhok42004Iraq

Writer identification(WI)based on handwritten text structures is typically focused on digital characteristics,with letters/strokes representing the information acquired from the current research in the integration of individual writing habits/*** studies have indicated that a word’s attributes contribute to greater recognition than the attributes of a character or *** a result of the complexity of Arabic handwriting,segmenting and separating letters and strokes from a script poses a challenge in addition to WI *** this work,we propose new texture features for WI based on *** histogram of oriented gradient(HOG)features are modified to extract good features on the basis of the histogram of the orientation for different angles of *** fusion of these features with the features of convolutional neural networks(CNNs)results in a good vector of powerful ***,we reduce the features by selecting the best ones using a genetic *** normalization method is used to normalize the features and feed them to an artificial neural network *** results show that the proposed augmenter enhances the results for HOG features and ResNet50,as well as the proposed model,because the amount of data is *** a large data volume helps the system to retrieve extensive information about the nature of writing *** affective result of the proposed model for whole paragraphs,lines,and sub words is obtained using different models and then compared with those of the CNN and *** whole paragraphs produce the best results in all models because they contain rich information and the model can utilize numerous features for different *** HOG and CNN features achieve 94.2%accuracy for whole paragraphs with augmentation,83.2%of accuracy for lines,and 78%accuracy for sub ***,this work provides a system that can identify writers on the basis of their handwriting and builds a powerful model that can help

关键词： Writer identification handwritten Arabic HOG features artificial neural network segmentation CNN features

来源：

维普期刊数据库评论

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

A New Segmentation Framework for Arabic Handwritten Text Using Machine Learning Techniques

引用

Computers, Materials & Continua 2021年第8期68卷 2727-2754页

作者： saleem ibraheem saleem Adnan Mohsin Abdulazeez Zeynep Orman Department of Information Technology Technical Informatics College of AkreDuhok Polytechnic UniversityDuhok42004Kurdistan RegionIraq Department of Computer Engineering Faculty of EngineeringIstanbul University-CerrahpasaIstanbul34320Turkey

The writer identification(WI)of handwritten Arabic text is now of great concern to intelligence agencies following the recent attacks perpetrated by known Middle East terrorist *** is also a useful instrument for the digitalization and attribution of old text to other authors of historic studies,including old national and religious *** this study,we proposed a new affective segmentation model by modifying an artificial neural network model and making it suitable for the binarization stage based on *** modified method is combined with a new effective rotation model to achieve an accurate segmentation through the analysis of the histogram of binary ***,propose a new framework for correct text rotation that will help us to establish a segmentation method that can facilitate the extraction of text from its *** projections and the radon transform are used and improved using machine learning based on a co-occurrence matrix to produce binary *** training stage involves taking a number of images for model *** images are selected randomly with different angles to generate four classes(0–90,90–180,180–270,and 270–360).The proposed segmentation approach achieves a high accuracy of 98.18%.The study ultimately provides two major contributions that are ranked from top to bottom according to the degree of *** proposed method can be further developed as a new application and used in the recognition of handwritten Arabic text from small documents regardless of logical combinations and sentence construction.

关键词： Writer identification handwritten Arabic biometric systems artificial neural network segmentation skew detection model

来源：

维普期刊数据库评论

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

欢迎您,

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

在线全文

在线全文

请选择保存的检索档案：

请选择收藏分类：

通借通还

欢迎您,

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

在线全文

在线全文

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：