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National Repository of Grey Literature 2 records found  Search took 0.00 seconds. 
Acquisition and Recognition of 3D Signature
 Molitoris, Miloš ; Dvořák, Michal (referee) ; Drahanský, Martin (advisor)
This work deals with methods of signing in 3D space, selecting a suitable scan model, obtaining a sufficient number of samples to create a database, and finally verifying signatures. The first part deals with the issue of existing solutions and methods of signature verification, further image processing required for marker shooting in 3D space. The following sections are dedicated to design a unique signature solution in free space using a pen without any contact. Two shooting models have been designed using cameras or Leap Motion sensor. The application was implemented based on DTW algorithm using this sensor resulting in a dynamic signature verification system. Furthermore, the work includes a description using of database creation and experimental signature verification. At the end, we find an assessment of the security and error rate of the system that is compared to other methods. The result of this thesis is an application for 3D signature capture and recognition with the potential of a new technique for secure signature.
Detailed record
Acquisition and Recognition of 3D Signature
 Molitoris, Miloš ; Dvořák, Michal (referee) ; Drahanský, Martin (advisor)
This work deals with methods of signing in 3D space, selecting a suitable scan model, obtaining a sufficient number of samples to create a database, and finally verifying signatures. The first part deals with the issue of existing solutions and methods of signature verification, further image processing required for marker shooting in 3D space. The following sections are dedicated to design a unique signature solution in free space using a pen without any contact. Two shooting models have been designed using cameras or Leap Motion sensor. The application was implemented based on DTW algorithm using this sensor resulting in a dynamic signature verification system. Furthermore, the work includes a description using of database creation and experimental signature verification. At the end, we find an assessment of the security and error rate of the system that is compared to other methods. The result of this thesis is an application for 3D signature capture and recognition with the potential of a new technique for secure signature.
Detailed record

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