Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/66407
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dc.contributor.authorPek, Zhe Hua-
dc.date.accessioned2016-04-01T08:55:00Z-
dc.date.available2016-04-01T08:55:00Z-
dc.date.issued2016-
dc.identifier.urihttp://hdl.handle.net/10356/66407-
dc.description.abstractBiometric identification is an important security measure implemented in various different ways from identifying legitimate researcher in labs to attendance verification in fast food chains. It replaces the need for traditional passwords and PINs which could easily be stolen or forgotten. However, aside from biometrics that costs extra such as fingerprint biometrics, there is a biometric approach where it does not factor in any additional costs and still enjoy the same security benefits. A persons’ traits is unique to each self and it cannot be replicated like fingerprints. These traits are considered as biometrics where we can identify the person by use of technological equipment. The biometrics are then verified against the database to authenticate the person based on the matching rate. With the increase in technological changes, mobile devices are more powerful and equipped with better processor. More often than not, we would store sensitive information or data we would like to secure in an event or stolen phone or hacked device. However, with the available security measures in place, it is easily broken and not secure enough. Fortunately, most of these devices are equipped with a common item, the camera which is powerful enough to capture the minute details of our palm print. This project shows the efficiency of the devices and the difference in the speed when the matching is done. en_US
dc.format.extent37 p.en_US
dc.language.isoenen_US
dc.rightsNanyang Technological University-
dc.subjectDRNTU::Engineeringen_US
dc.titleMake biometric mobileen_US
dc.typeFinal Year Project (FYP)en_US
dc.contributor.schoolSchool of Computer Engineeringen_US
dc.description.degreeBachelor of Engineering (Computer Science)en_US
dc.contributor.researchEmerging Research Laben_US
dc.contributor.supervisor2Li Fangen_US
item.grantfulltextrestricted-
item.fulltextWith Fulltext-
Appears in Collections:SCSE Student Reports (FYP/IA/PA/PI)
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