dc.contributor.authorLiu, Xue
dc.date.accessioned2016-04-19T01:34:10Z
dc.date.available2016-04-19T01:34:10Z
dc.date.issued2016
dc.identifier.urihttp://hdl.handle.net/10356/66613
dc.description.abstractWith the development of technology—a double edge sword, while people are enjoying convenience and lifestyle reform, malicious usage of technology also lead to security concerns. Many identification and verification methods have been developed to address this issue. Token based solutions like password and smart card can be easily duplicated, forgotten, lost or stolen. Biometric technology is a new solution to overcome shortcomings of traditional identification methods. Biometric technology based verification and authentication regards obtaining and utilising biometric information of people (palmprint, vein pattern, facial expression) to verify and authenticate users. Palmprint and vein pattern verification are important components of biometric authentication due to their uniqueness and relative invariance along people’s life. Palmprint and vein pattern identification and verification solutions are getting more and more popular in real world application. However, there is a trade-off between identification power and efficiency which has been a bottleneck for palmprint and vein matching system. Bruteforce matching is computationally expensive. To improve efficiency, coarse-matching must be done. Here, Fourier Transform is the instrumental. However, traditional Fourier Transform usually achieve significant improvement on computational time but incur some information loss and low Matching Accuracy. Hence advanced Fourier Transform algorithms should be explored to further reduce computational time and improve Matching Accuracy. The original system contains a brute-force implementation of Discrete Fourier Transform algorithm which is inefficient and causes significant drop in Matching Accuracy. This work is concerned with developing and integrating a Mixed-radix and Radix-2 Fast Fourier Transform algorithm to reduce Transform Time and explore methods to improve Matching Accuracy.en_US
dc.format.extent61 p.en_US
dc.language.isoenen_US
dc.rightsNanyang Technological University
dc.subjectDRNTU::Engineeringen_US
dc.titleWhat can the structure of the palmprint tell us?en_US
dc.typeFinal Year Project (FYP)en_US
dc.contributor.supervisorLi Fangen_US
dc.contributor.schoolSchool of Computer Engineeringen_US
dc.description.degreeBachelor of Engineering (Computer Science)en_US


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