Comparison of Different Preprocessing and Feature Extraction Methods for Offline Recognition of Handwritten Arabic Words

机译：不同预处理和特征提取方法对手写阿拉伯语单词的不同预处理和特征提取方法的比较

获取原文

页面导航

摘要
著录项
相似文献
相关主题

摘要

Preprocessing and feature extraction are very important steps in automatic cursive handwritten word recognition. Based on an offline recognition system for Arabic handwritten words which uses a semi-continuous 1-dimensional Hidden Markov Model recognizer, different preprocessing combined with different feature sets are presented. The dependencies of the feature sets from preprocessing steps are discussed and their performances are compared using the IFN/ENIT-database of handwritten Arabic words. As the lower and upper baseline of each word are part of the ground truth of the database, the dependency of the feature set from the accuracy of the estimated baseline is evaluated.

机译：预处理和特征提取是自动练习手写词识别中的非常重要的步骤。基于使用半连续1维隐马尔可夫模型识别器的阿拉伯语手写单词的离线识别系统，提出了不同预处理与不同特征集的联合。从预处理步骤中讨论了特征集的依赖关系，并使用手写阿拉伯语单词的IFN / ENIT数据库进行比较它们的性能。随着每个单词的下基线和上基线是数据库的基础事实的一部分，评估特征从估计基线的准确性集的依赖性。

著录项

来源
《International Conference on Document Analysis and Recognition》|2007年||共5页
会议地点
作者
Haikal El Abed; Volker Margner;
展开▼
作者单位

展开▼
会议组织
原文格式 PDF
正文语种
中图分类 TP391.41-53;
关键词

相似文献

外文文献
中文文献
专利

1. Statistical geometric components of straight lines (SGCSL) feature extraction method for offline Arabic/Persian handwritten words recognition [J] . Reza Tavoli, Mohammadreza Keyvanpour, Saeed Mozaffari Image Processing, IET . 2018,第9期

机译：离线阿拉伯文/波斯文手写单词识别的直线统计几何成分（SGCSL）特征提取方法
2. Pixel distribution-based features for offline Arabic handwritten word recognition [J] . Qais Ali AI-Nuzaili, Siti Z. Mohd Hashim, Faisal Saeed, International journal of computational vision and robotics . 2017,第1a2期

机译：基于像素分布的功能，用于离线阿拉伯语手写单词识别
3. Krawtchouk Moment Feature Extraction for Neural Arabic Handwritten Words Recognition [J] . Anass El affar, Khalid Ferdous, Abdeljabbar Cherkaoui, International journal of computer science and network security . 2009,第1期

机译：Krawtchouk矩特征提取用于神经阿拉伯手写单词识别
4. Comparison of Different Preprocessing and Feature Extraction Methods for Offline Recognition of Handwritten Arabic Words [C] . Haikal El Abed, Volker Margner International Conference on Document Analysis and Recognition . 2007

机译：不同预处理和特征提取方法对手写阿拉伯语单词的不同预处理和特征提取方法的比较
5. Pattern recognition and feature extraction using lidar-derived elevation models in GIS: A comparison between visualization techniques and automated methods for identifying prehistoric ditch-fortified sites in North Dakota [D] . Radermacher, Matthew Jeffery. 2016

机译：使用GIS中基于激光雷达的高程模型进行模式识别和特征提取：可视化技术与识别北达科他州史前沟壑加固地点的自动化方法之间的比较
6. Novel Deep Convolutional Neural Network-Based Contextual Recognition of Arabic Handwritten Scripts [O] . Rami Ahmed, Mandar Gogate, Ahsen Tahir, 2021

机译：基于新型卷积神经网络的阿拉伯语手写脚本的新型卷积神经网络
7. Word based off-line handwritten Arabic classification and recognition. Design of automatic recognition system for large vocabulary offline handwritten Arabic words using machine learning approaches. [O] . AlKhateeb Jawad Hasan Yasin 2010

机译：基于单词的离线手写阿拉伯语分类和识别。利用机器学习方法设计大词汇量离线阿拉伯语手写单词自动识别系统。

Comparison of Different Preprocessing and Feature Extraction Methods for Offline Recognition of Handwritten Arabic Words

摘要

著录项

相似文献

相关主题

期刊订阅