Fingerprint based attendance system using IoT
| dc.contributor.author | Fakih, Awab | |
| dc.date.accessioned | 2017-05-18T09:01:22Z | |
| dc.date.available | 2017-05-18T09:01:22Z | |
| dc.date.issued | 2017-05 | |
| dc.description.abstract | The human body has the privilege of having features that are unique and exclusive to each individual. This exclusivity* and unique characteristic has led to the field of biometrics and its application in ensuring security in various fields with various embedded controllers and embedded computers. Biometrics have gained popularity and has proved itself to be a reliable mode of ensuring privacy, maintaining security and identifying individuals. Biometrics is the study of identifying a person by their physical traits that are inherent and unique to only the person concerned. Biometric identification include fingerprint verification, palm geometry, face recognition, iris recognition, etc. Accuracy and reliability are the two most important parameters when it comes to biometric applications and that too with advanced embedded computers. Fingerprint verification is one of the oldest known biometric techniques known but still is the most widely used because of its simplicity and good levels of accuracy. | en_US |
| dc.identifier.uri | http://www.aiktcdspace.org:8080/jspui/handle/123456789/1945 | |
| dc.language.iso | en_US | en_US |
| dc.publisher | AIKTC | en_US |
| dc.relation.ispartofseries | Accession # PE0189; | |
| dc.subject | Project Report - EXTC | en_US |
| dc.title | Fingerprint based attendance system using IoT | en_US |
| dc.type | Project Report | en_US |