Integration of Iris Biometrics in Automated Teller Machines for Enhanced User Authentication
| Autor: | Etinosa Noma-Osaghae, Samuel John, Osemwegie Omoruyi, Kennedy O. Okokpujie, Olatunji Okesola, Imhade P. Okokpujie, Chinonso Okereke |
|---|---|
| Rok vydání: | 2018 |
| Předmět: |
User authentication
Authentication Biometrics Computer science 05 social sciences Iris recognition 02 engineering and technology Computer security computer.software_genre Microcontroller InformationSystems_MODELSANDPRINCIPLES Personal identification number 0502 economics and business 0202 electrical engineering electronic engineering information engineering 020201 artificial intelligence & image processing IRIS (biosensor) computer 050203 business & management |
| Zdroj: | Information Science and Applications 2018 ISBN: 9789811310553 ICISA |
| DOI: | 10.1007/978-981-13-1056-0_23 |
| Popis: | The ubiquitous Automatic Teller Machine that revolutionized the way monetary transactions are carried out the world over is currently riddled with several security challenges. Top on the list of these challenges are the thefts and frauds associated with the ever popular Personal Identification Number based automatic teller machines. A lot of suggestions and proposals have been made in recent times, on how to combat the menace of automatic teller machine frauds. Biometrics is one of the most promising tools that have the capacity to put the nefarious activities around automatic teller machines in check. This paper proposes a cheap and economic iris biometric based automatic teller machine, built around a microcontroller, iris scanner and a robust database. The designed and implemented prototype is capable of checkmating automatic teller machine fraud and it is also easy to implement in developing nations. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|