Writer
Exploring New Handwriting Parameters for Writer Identification, the Law and other Social Sciences
The automatic processing of handwriting samples is part of the computational biometric. It applies qualitative and quantitative techniques by means of capturing, visualizing and analyzing handwriting. The main applications are writer identification and text understanding. Two significantly different situations appear: on line and off line data capturing. In the former the samples are obtained in a dedicated framework, where the writing instrument and the surface have several sensors. In the latter, the unique information available comes from the residues left on the paper. this topic deals with the second situation. Width, grey value, direction and other parameters of the residual manuscript text were influenced by the psychomotor characteristics of the writer. Some of these personal parameters may be estimated from the observable properties of the written text.[1]
Writer
Resources
See Also
Further Reading
- Information related to writer in the Max Planck Encyclopedia of International Law(MPEPIL), Germany, United Kingdom
Resources
Notes and References
- Verónica Aubin, Jorge Doorn, “Exploring New Handwriting Parameters for Writer Identification” (Encyclopedia of Information Science and Technology, 4th Edition, Information Resources Management Association, 2018)