Matches in SemOpenAlex for { <https://semopenalex.org/work/W2092091610> ?p ?o ?g. }
Showing items 1 to 92 of
92
with 100 items per page.
- W2092091610 abstract "Iris template classification in unconstrained environment is one of the open challenges in recognizing human through iris biometric modality. The iris template classifier must be robust to the outliers and noise introduced in the individual iris class distribution because of the occlusion, blur, specular reflection, etc. Also, it should perform fast enough, to make its use in real-world applications. We are introducing a combination of feature reduction technique called kernel discriminant analysis and parzen-based probabilistic neural network classifier which shows robustness to the outliers and noises and gives great advantage in time complexity as compare to other state-of-the-art classifiers. Comparisons are presented with the state-of-the-art classifiers like Euclidean distance, hamming distance with mask template, support vector machine, and sparse representation based classifier on two publicly available iris databases: CASIA-Iris-Thousand and CASIA-Iris-Lamp." @default.
- W2092091610 created "2016-06-24" @default.
- W2092091610 creator A5016354357 @default.
- W2092091610 creator A5067971288 @default.
- W2092091610 creator A5073557290 @default.
- W2092091610 creator A5078919752 @default.
- W2092091610 date "2014-12-01" @default.
- W2092091610 modified "2023-09-23" @default.
- W2092091610 title "Robust Iris Classification through a Combination of Kernel Discriminant Analysis and Parzen Based Probabilistic Neural Networks" @default.
- W2092091610 cites W1490682695 @default.
- W2092091610 cites W1508260139 @default.
- W2092091610 cites W170670618 @default.
- W2092091610 cites W1964168965 @default.
- W2092091610 cites W1977333505 @default.
- W2092091610 cites W1985809919 @default.
- W2092091610 cites W1991635910 @default.
- W2092091610 cites W2013680147 @default.
- W2092091610 cites W2025546194 @default.
- W2092091610 cites W2041702593 @default.
- W2092091610 cites W2053118197 @default.
- W2092091610 cites W2053875060 @default.
- W2092091610 cites W2057159186 @default.
- W2092091610 cites W2079745780 @default.
- W2092091610 cites W2085044339 @default.
- W2092091610 cites W2094542531 @default.
- W2092091610 cites W2099278510 @default.
- W2092091610 cites W2102525097 @default.
- W2092091610 cites W2118020555 @default.
- W2092091610 cites W2137310573 @default.
- W2092091610 cites W2150796457 @default.
- W2092091610 cites W2153635508 @default.
- W2092091610 doi "https://doi.org/10.1109/eait.2014.25" @default.
- W2092091610 hasPublicationYear "2014" @default.
- W2092091610 type Work @default.
- W2092091610 sameAs 2092091610 @default.
- W2092091610 citedByCount "2" @default.
- W2092091610 countsByYear W20920916102016 @default.
- W2092091610 countsByYear W20920916102019 @default.
- W2092091610 crossrefType "proceedings-article" @default.
- W2092091610 hasAuthorship W2092091610A5016354357 @default.
- W2092091610 hasAuthorship W2092091610A5067971288 @default.
- W2092091610 hasAuthorship W2092091610A5073557290 @default.
- W2092091610 hasAuthorship W2092091610A5078919752 @default.
- W2092091610 hasConcept C104317684 @default.
- W2092091610 hasConcept C112356035 @default.
- W2092091610 hasConcept C11413529 @default.
- W2092091610 hasConcept C120174047 @default.
- W2092091610 hasConcept C153180895 @default.
- W2092091610 hasConcept C154945302 @default.
- W2092091610 hasConcept C184297639 @default.
- W2092091610 hasConcept C185592680 @default.
- W2092091610 hasConcept C193319292 @default.
- W2092091610 hasConcept C41008148 @default.
- W2092091610 hasConcept C49937458 @default.
- W2092091610 hasConcept C52622490 @default.
- W2092091610 hasConcept C55493867 @default.
- W2092091610 hasConcept C63479239 @default.
- W2092091610 hasConcept C79337645 @default.
- W2092091610 hasConcept C95623464 @default.
- W2092091610 hasConceptScore W2092091610C104317684 @default.
- W2092091610 hasConceptScore W2092091610C112356035 @default.
- W2092091610 hasConceptScore W2092091610C11413529 @default.
- W2092091610 hasConceptScore W2092091610C120174047 @default.
- W2092091610 hasConceptScore W2092091610C153180895 @default.
- W2092091610 hasConceptScore W2092091610C154945302 @default.
- W2092091610 hasConceptScore W2092091610C184297639 @default.
- W2092091610 hasConceptScore W2092091610C185592680 @default.
- W2092091610 hasConceptScore W2092091610C193319292 @default.
- W2092091610 hasConceptScore W2092091610C41008148 @default.
- W2092091610 hasConceptScore W2092091610C49937458 @default.
- W2092091610 hasConceptScore W2092091610C52622490 @default.
- W2092091610 hasConceptScore W2092091610C55493867 @default.
- W2092091610 hasConceptScore W2092091610C63479239 @default.
- W2092091610 hasConceptScore W2092091610C79337645 @default.
- W2092091610 hasConceptScore W2092091610C95623464 @default.
- W2092091610 hasLocation W20920916101 @default.
- W2092091610 hasOpenAccess W2092091610 @default.
- W2092091610 hasPrimaryLocation W20920916101 @default.
- W2092091610 hasRelatedWork W1560376013 @default.
- W2092091610 hasRelatedWork W2023618638 @default.
- W2092091610 hasRelatedWork W2039790585 @default.
- W2092091610 hasRelatedWork W2115116816 @default.
- W2092091610 hasRelatedWork W2119197518 @default.
- W2092091610 hasRelatedWork W2601267509 @default.
- W2092091610 hasRelatedWork W2609035398 @default.
- W2092091610 hasRelatedWork W2757349250 @default.
- W2092091610 hasRelatedWork W2785438274 @default.
- W2092091610 hasRelatedWork W2889989850 @default.
- W2092091610 isParatext "false" @default.
- W2092091610 isRetracted "false" @default.
- W2092091610 magId "2092091610" @default.
- W2092091610 workType "article" @default.