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dc.contributor.authorChiao Mei, Florence Choong
dc.contributor.authorReaz, Mamun Ibne
dc.contributor.authorLeng, Tan
dc.contributor.authorYasin, Faisal Mohd
dc.date.accessioned2017-05-03T11:49:25Z
dc.date.available2017-05-03T11:49:25Z
dc.date.issued2007
dc.date.modified2012-09-04T22:31:35Z
dc.identifier.issn01280198
dc.identifier.urihttp://hdl.handle.net/10072/46681
dc.description.abstractIris recognition, a relatively new biometric technology, possesses great advantages, such as variability, stability and security, making it to be the most promising method for high security environments. A novel hardware-based iris recognition system is proposed in this paper, which consists of two main parts: image processing and recognition. Image processing involves histogram stress, thresholding, cropping, transformation and normalizing that is performed by using Matlab. Multilayer perceptron architecture with backpropagation algorithm is employed to recognize iris pattern. The entire architecture was modeled using VHDL, a hardware description language. The approach obtained a recognition accuracy of 98.5%.The design was successfully implemented, tested and validated on Altera Mercury EP1 Ml 20F484C5 FPGA utilizing 4157 logic cells and achieved a maximum frequency of 121.87 MHz.This novel and efficient method in hardware, based on FPGA technology showed improved performance over existing approaches for iris recognition.
dc.description.peerreviewedYes
dc.description.publicationstatusYes
dc.languageEnglish
dc.language.isoeng
dc.publisherPerbit Universiti Kebangsaan Malaysia
dc.publisher.placeMalaysia
dc.publisher.urihttps://www.ukm.my/jkukm/volume-19-2007/
dc.relation.ispartofstudentpublicationN
dc.relation.ispartofpagefrom77
dc.relation.ispartofpageto86
dc.relation.ispartofjournalJurnal Kejuruteraan
dc.relation.ispartofvolume19
dc.rights.retentionY
dc.subject.fieldofresearchNeurocognitive Patterns and Neural Networks
dc.subject.fieldofresearchcode170205
dc.titleHardware Prototyping Of Iris Recognition System: A Neural Network Approach
dc.typeJournal article
dc.type.descriptionC1 - Articles
dc.type.codeC - Journal Articles
gro.date.issued2007
gro.hasfulltextNo Full Text
gro.griffith.authorMohd-Yasin, Faisal


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