作者: Enric Sesa-Nogueras , Marcos Faundez-Zanuy , Jiří Mekyska
DOI: 10.1007/S12559-011-9119-Y
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摘要: This paper is aimed at analysing, from an information theory perspective, the gestures produced by human beings when handwriting a text. Modern capturing devices allow the gathering of data not only from the on-surface movements of the hand, but also from the in-air trajectories performed when the hand moves in the air from one stroke to the next. Our past research with isolated uppercase words clearly suggests that both types of trajectories have a biometric potential to perform writer recognition and that they can be effectively …