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dc.contributor.authorKurosh Madani
dc.contributor.authorAbdennasser Chebira
dc.contributor.authorDamien Langlois
dc.coverage.spatialBrestru_RU
dc.date.accessioned2023-11-28T10:37:40Z
dc.date.available2023-11-28T10:37:40Z
dc.date.issued2006
dc.identifier.citationKurosh Madani. An Artificial Neural Network Based Approach to Mass Biometry Dilemma Taking advantage from IBM ZISC-036 Neuro-Processor Based Massively Parallel Implementation / Kurosh Madani, Abdennasser Chebira, Damien Langlois // International Conference on Neural Networks and Artificial Intelligence : proceedings, Brest, 31 May – 2 June, 2006 / Edited: V. Golovko [et al.]. – Brest : BSTU, 2006. – P. 84–92 : il. – Bibliogr.: p. 91–92 (23 titles).ru_RU
dc.identifier.urihttps://rep.bstu.by/handle/data/37230
dc.descriptionКурош Мадани, Абденнассер Чебира, Дэмиен Ланглуа. Основанный на искусственной нейронной сети подход к решению проблемы массовой биометрии с использованием преимуществ массово-параллельной реализации на базе нейропроцессора IBM ZISC-036ru_RU
dc.description.abstractOver the recent past years, new public security tendency to fit up public areas with biometric devices has emerged new requirements in biometric recognition dealing with what we call here "mass biometry". Ifthe main goal in "individual biometry" is to authenticate and/or identify an undesired individual within a set of favored folk, the main goal in "mass biometry" is to authenticate and/or identify an unusual (suspect) behavior within a flow of mass customary behaviors. So, in "mass biometry ” the ability of handling patterns containing relatively poor information and the skill of high speed processing in order to treat a mass number of patterns in real-time are chief requirements. These antagonistic requirements make authentication and identification tasks very challenging for the "mass biometry " related applications. In this paper we present an Artificial Neural Network (ANN) based face recognition system in a "mass biometry" context using facial biometric features. The proposed system takes advantage from kernel functions based ANN model and its IBM ZISC-036 based massively parallel hardware implementation. Experimental results validating the issued prototype mass biometric system is been presented and discussed.ru_RU
dc.language.isoenru_RU
dc.publisherBrSTUru_RU
dc.subjectmass Biometry Applicationsru_RU
dc.subjectПриложения массовой биометрииru_RU
dc.subjectartificial Neural Networksru_RU
dc.subjectискусственные нейронные сетиru_RU
dc.subjectreal-Timeru_RU
dc.subjectреальное времяru_RU
dc.subjectZISC-036 Neuro-Processorru_RU
dc.subjectнейропроцессор ZISC-036ru_RU
dc.subjectparallel implementation.ru_RU
dc.subjectпараллельная реализацияru_RU
dc.titleAn Artificial Neural Network Based Approach to Mass Biometry Dilemma Taking advantage from IBM ZISC-036 Neuro-Processor Based Massively Parallel Implementationru_RU
dc.title.alternativeОснованный на искусственной нейронной сети подход к решению проблемы массовой биометрии с использованием преимуществ массово-параллельной реализации на базе нейропроцессора IBM ZISC-036ru_RU
dc.typeНаучный доклад (Working Paper)ru_RU


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