Performance Comparison of Machine Learning Algorithms for Online Handwriting Recognition: A Brief Analysis

An online handwriting recognition system is a software application that enables the conversion of handwritten text or symbols into digital form. This system utilizes various technologies such as the processing of images, recognition of patterns, the context of machine learning, and computational intelligence to interpret handwritten content accurately. In this system, users input their handwriting through a stylus or mouse, and the software recognizes information and converts it into machine-readable text. The system can be used for a wide range of applications, including the processing of documents, note-taking, and signature verification that impacts the online handwriting system. The accuracy and efficiency of online handwriting recognition systems have improved due to technological breakthroughs in research development, making them a popular choice for various industrial innovation.

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Published
2024-10-15
DOI
https://doi.org/10.1109/icses63445.2024.10763322
Primary Topic
Handwritten Text Recognition Techniques
Type
article
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article

Performance Comparison of Machine Learning Algorithms for Online Handwriting Recognition: A Brief Analysis

Punit Soni, Mamta Nebhinani, Gurpreet Singh
Handwritten Text Recognition Techniques
article

Performance Comparison of Machine Learning Algorithms for Online Handwriting Recognition: A Brief Analysis

Punit Soni, Mamta Nebhinani, Gurpreet Singh
article en

Abstract

An online handwriting recognition system is a software application that enables the conversion of handwritten text or symbols into digital form. This system utilizes various technologies such as the processing of images, recognition of patterns, the context of machine learning, and computational intelligence to interpret handwritten content accurately. In this system, users input their handwriting through a stylus or mouse, and the software recognizes information and converts it into machine-readable text. The system can be used for a wide range of applications, including the processing of documents, note-taking, and signature verification that impacts the online handwriting system. The accuracy and efficiency of online handwriting recognition systems have improved due to technological breakthroughs in research development, making them a popular choice for various industrial innovation.

Chitkara University (IN)
Openalex Percentile: Top 78%
Handwritten Text Recognition Techniques
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Performance Comparison of Machine Learning Algorithms for Online Handwriting Recognition: A Brief Analysis — Punit Soni, Mamta Nebhinani, et al. · (2024) | TGRS Research Map | TGRS