A Review of Robust Automated Handwriting Recognition System

Abstract

Handwriting is often used to identify personality characteristics that are expressed by neural patterns in the brain. During the prosecution of any crime, the authenticity of a person's handwriting is often subjected to forensic handwriting analysis in order toascertain authorship. Automated handwriting analysis is fast, precise, and better than visual inspection at identifying handwriting. It is also effective and free of human errors. One of the most effective forensic science processes is the use of an automated handwriting recognition system. It focuses on determining a person's characteristics or attributesof computer vision and image recognition. To boost precision, the new approach focuses on automated handwriting analysis systems. It is essential to use handwriting recognition software, and it must be developed to understand more languages. This paper reviews some of the most efficient automated handwriting identification systems and emphasizes the importance of such systems in handwriting analysis processes. Keywords: Automated Handwriting Recognition System, Image Processing, Acquisition, Pre-Processing, Feature Extraction, Matching

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