The goal of this work is to develop a recognition algorithm for biometric authentication using a freehand drawing. There are similar studies about signature verification or keystroke typing[1] but there are not any work about freehand drawing surprisingly. To achieve this goal we find, analyzed and selected 6 different biometric feature that are sufficient to distinguish two different people drawing the same sketch. First the enrollment and then the recognition algorithms are intentionally not difficult or complex to understand and implement. The whole work has been developed for and tested on Android-powered mobile devices which has assured an easy-to-use interface and usage and a touchscreen technology ready-to-use. In chapter 1 we introduce the complete work done and we give an overview about bio- metrics and the state of the art. In chapter 2 we give some information about the Android platform and Android Development Tools. In chapter 3 we analyze the selected features explaining the recognition algorithm in detail. In chapter 4 we explain our choices, we present and comment the test results. In appendix A we write a user manual to make usage easy
Distinguishing freehand drawing recognition for biometric authentication on Android-powered mobile devices
Casasola, Alessandro
2012/2013
Abstract
The goal of this work is to develop a recognition algorithm for biometric authentication using a freehand drawing. There are similar studies about signature verification or keystroke typing[1] but there are not any work about freehand drawing surprisingly. To achieve this goal we find, analyzed and selected 6 different biometric feature that are sufficient to distinguish two different people drawing the same sketch. First the enrollment and then the recognition algorithms are intentionally not difficult or complex to understand and implement. The whole work has been developed for and tested on Android-powered mobile devices which has assured an easy-to-use interface and usage and a touchscreen technology ready-to-use. In chapter 1 we introduce the complete work done and we give an overview about bio- metrics and the state of the art. In chapter 2 we give some information about the Android platform and Android Development Tools. In chapter 3 we analyze the selected features explaining the recognition algorithm in detail. In chapter 4 we explain our choices, we present and comment the test results. In appendix A we write a user manual to make usage easyFile | Dimensione | Formato | |
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https://hdl.handle.net/20.500.12608/16205