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  • 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 onsurface 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 combined to enhance the recognition accuracy. With samples from the BiosecurID database, we have analysed the entropy of each kind of trajectories, as well as the amount of information they share, and the difference between intra- and interwriter measures of the mutual information. The results show that when pressure is not taken into account, the amount of information is similar in both types of trajectories. Furthermore, even if they share some information, in-air and on-su
  • 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 onsurface 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 combined to enhance the recognition accuracy. With samples from the BiosecurID database, we have analysed the entropy of each kind of trajectories, as well as the amount of information they share, and the difference between intra- and interwriter measures of the mutual information. The results show that when pressure is not taken into account, the amount of information is similar in both types of trajectories. Furthermore, even if they share some information, in-air and on-su (en)
Title
  • An Information Analysis of In-Air and On-Surface Trajectories in Online Handwriting
  • An Information Analysis of In-Air and On-Surface Trajectories in Online Handwriting (en)
skos:prefLabel
  • An Information Analysis of In-Air and On-Surface Trajectories in Online Handwriting
  • An Information Analysis of In-Air and On-Surface Trajectories in Online Handwriting (en)
skos:notation
  • RIV/00216305:26220/12:PU100653!RIV13-MSM-26220___
http://linked.open...avai/predkladatel
http://linked.open...avai/riv/aktivita
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  • P(ED2.1.00/03.0072), P(VG20102014033), S
http://linked.open...iv/cisloPeriodika
  • 2
http://linked.open...vai/riv/dodaniDat
http://linked.open...aciTvurceVysledku
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  • 121986
http://linked.open...ai/riv/idVysledku
  • RIV/00216305:26220/12:PU100653
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • Handwriting, biometrics, information theory (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...odStatuVydavatele
  • US - Spojené státy americké
http://linked.open...ontrolniKodProRIV
  • [FFCA5F6E28AA]
http://linked.open...i/riv/nazevZdroje
  • Cognitive Computation
http://linked.open...in/vavai/riv/obor
http://linked.open...ichTvurcuVysledku
http://linked.open...cetTvurcuVysledku
http://linked.open...vavai/riv/projekt
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http://linked.open...v/svazekPeriodika
  • 4
http://linked.open...iv/tvurceVysledku
  • Faúndez Zanuy, Marcos
  • Mekyska, Jiří
  • Sesa-Nogueras, Enric
http://linked.open...ain/vavai/riv/wos
  • 000305213600005
issn
  • 1866-9956
number of pages
http://localhost/t...ganizacniJednotka
  • 26220
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