Statistical Pattern Recognition for Automatic Writer Identification and Verification

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Автор:

Название: Statistical Pattern Recognition for Automatic Writer Identification and Verification

Издательство: Marius Lucian Bulacu

Год: 1973

Формат: pdf

Размер: 3.35 Mib

Для сайта:

This thesis addresses the problem of automatic person identification using scanned images of handwriting. Identifying the author of a handwritten sample using automatic image-based methods is an interesting pattern recognition problem with direct applicability in the forensic and historic document analysis fields. Approaching this challenging problem raises a number of important research themes in computer vision:

• How can individual handwriting style be characterized using computer algorithms?

• What representations or features are most appropriate and how can they be combined?

• What performance can be achieved using automatic methods?

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