A comparison of on -line dynamic signature trait variables across different computing devices

Stephen J Elliott, Purdue University


The purpose of this study was to test signature verification software on both the traditional digitizer tablets and on wireless/mobile devices, in order to assess how the dynamics of signature signing on such devices change. Specifically, this study examined the differences between table-based digitizers (Wacom Intuit and E-pad) and over mobile computing devices (Palm III, Symbol 1500, Symbol 1740). Mobile computing devices may not be suitable for the collection of electronic signatures due to screen resolution and size, positioning of screen within the device, yet software has been manufactured for them. This study examined variance in the individual variables, rather than performance, across devices, gender, and age. Furthermore, data on session signing and repeated visits (between 1 and 45 days) were collected. After analysis, devices were grouped together, showing significant differences in variable traits across device families, but not within. The study found that signing behaviors, when examined at the variable level, was not affected by repeated signing, and that template aging had not occurred within the study's timeframe. ^




Major Professors: Duane D. Dunlap, Purdue University, Jerry L. Peters, Purdue University.

Subject Area

Education, Curriculum and Instruction

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