Segmentation and analysis of handwritten scripts from patients with neurological diseases

Authors:
Elena Kalcheva;Georgi Gluchev
Affiliations:
Institute of Information technologies, BAS;Institute of Information technologies, BAS
Venue:
CompSysTech '03 Proceedings of the 4th international conference conference on Computer systems and technologies: e-Learning
Year:
2003

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Abstract

A method for automatic segmentation and analysis of handwritten scripts belonging to patients with ND and healthy individuals is proposed A combination of connected component analysis and projection profile technique is used to separate the text-lines. Several common geometric features describing size. orientation, shape and baseline deviations of the handwriting are computed and statistically examined. The baseline variability and the aspect raho revealed differences between ND-patients and control group. Also the changes in the stroke's width and height in the beginning and the end of the Writing process can be used to separate the clinical Parkinsonians from the others. Nevertheless additional features and data are required to obtain reliable evaluation of the handwriting changes due to neurological diseases.