I am looking for study cases, articles, papers about graphoscopy software. The aim is create solutions using graphic computation.
Graphoscopy is a type of forensic analysis that examines the unique characteristics of a handwritten signature. There is no software or script currently available that can automate graphoscopy. However, there are several software programs available that can be used to compare handwriting samples, such as MyScript, Autographa, and Signature Examiner. These programs can be used to analyze handwriting samples and identify similarities and differences between signatures.
Petterson Faria de Souza ImageJ, FIJI, and Python libraries such as OpenCV and scikit-image are among the software alternatives for automating the identification of graphoscopy components. These programs may be used to evaluate and extract information such as line thickness, pressure, and stroke direction from handwriting samples.
In terms of study cases, various research publications on the use of these instruments for graphoscopy analysis have been published. "Automated Analysis of Handwriting for Diagnosis and Monitoring of Parkinson's Disease" by V. R. Chandran and S. V. Subramanian is one example, since it explains the creation of an automated system for analyzing handwriting samples to detect indicators of Parkinson's disease.
If you want to create your own solutions using graphic computation, I recommend first becoming acquainted with one of the software options mentioned above, and then experimenting with various feature extraction techniques and machine learning algorithms to see what works best for your specific application. There are also online tutorials and forums for these programs that can assist you in getting started.
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