| Autor: |
Fairoz Kumar, Madhuri Martis, Parashuram Baraki, Kavyashree H N |
| Rok vydání: |
2021 |
| Předmět: |
|
| Zdroj: |
SSRN Electronic Journal. |
| ISSN: |
1556-5068 |
| DOI: |
10.2139/ssrn.3835114 |
| Popis: |
In real world most of the biometric system shows authentication of user using uni-modal system. In this they use single source of information to authenticate the user such as face segmentation approach or mouse gesture dynamic approach or hand gesture or online signature approach. Some of the limitations exposed by uni-model system can be overcome by using combination of any two approaches. We have already implemented authentication of a user using hand gesture and online signature separately. In order to increase the level of security it is very much essential to combine two authentication modes. The main goal of this paper is to develop a model to authenticate a user using a combination of hand gesture and online signature. When user logs in, they need to register by using both authentication methods. First user is asked to record a gesture using accelerometer followed by signature using digital tablet and pen. Hand gesture device consisting of a tri-axial accelerometer and microcontroller transmission to sense the hand gesture and collect the same. Online signature device consisting of a digital tablet, pen and microcontroller transmission board to sense the online gesture and collect the same. Personal computer receives both gesture and signature as a input and stores in database. During verification user is asked to give both gesture and signature for verification. This work ensures better accuracy and more effectiveness in result and also helps to minimize system error rate. As a result the performance of combination method is 100% and false acceptance ratio and false rejection ratio is zero. Our work has been found to provide better accuracy when compared to existing works. |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
|
