Research on preprocessing and feature extraction methods for handwriting images based on Gabor texture learning

Handwriting recognition is a science and technology that uses machines to analyze the differences in handwriting styles to determine the identity of the writer. In the fields of computer vision and pattern recognition, handwriting recognition technology has also received increasing attention and res...

Full description

Saved in:
Bibliographic Details
Published in2023 IEEE 4th International Conference on Pattern Recognition and Machine Learning (PRML) pp. 259 - 262
Main Authors Amrurla, Guzalnur, Yadikar, Nurbiya, Ubul, Kurban
Format Conference Proceeding
LanguageEnglish
Published IEEE 04.08.2023
Subjects
Computer vision
Data integration
Feature extraction
Handwriting identification
Handwriting recognition
Machine learning
Preprocessing
Texture extraction
Transforms
Uyghur script
Writing
Online AccessGet full text

Cover

More Information
Summary:Handwriting recognition is a science and technology that uses machines to analyze the differences in handwriting styles to determine the identity of the writer. In the fields of computer vision and pattern recognition, handwriting recognition technology has also received increasing attention and research from experts and scholars. At the same time, the Uyghur handwriting recognition technology is still in its early stages, and the research on Uyghur handwriting recognition methods is of great significance. In this paper, research work was mainly concened with off-line Uyghur handwriting identification method, with special attention is given basically in handwriting image preprocessing and feature extraction concerning special handwriting character structure using Gabor transform method. Main objective is to evaluate and achieves Uyghur handwriting identification related algorithms and techniques and promote automation of the process.
DOI:10.1109/PRML59573.2023.10348291