The article explores the possibilities of solving forensic document examination tasks using scripts written in the programming language "Python", implementing their purpose through computer vision algorithms. In comparison to graphic editors such as GIMP and KRITA, commonly used in document analysis, the developed tools are simpler to use and devoid of redundant functionality. Their application to document images directly enables the successful resolution of the following tasks: identifying the content of handwritten notes, the strokes of which have been partially lost due to smudging; determining the content of recessed unpainted entries; detecting and recording the fact of addition; determining the content of crossed-out entries in situations where the original entries and the entries covering them are made with materials of different colors in the same type of document. Following the validation of the proposed tools on examined objects-handwritten details of documents subjected to diverse external factors the efficacy of employing the developed scripts in addressing a broad spectrum of forensic document examination tasks has been showcased.
DOCUMENT, PROGRAMMING LANGUAGES, EXPERT RESEARCH METHODS, FORENSIC TECHNICAL AND FORENSIC EXAMINATION OF DOCUMENTS, EXPERT OPINION
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