Matches in SemOpenAlex for { <https://semopenalex.org/work/W2984156961> ?p ?o ?g. }
Showing items 1 to 83 of
83
with 100 items per page.
- W2984156961 endingPage "26" @default.
- W2984156961 startingPage "13" @default.
- W2984156961 abstract "Most of the practical applications have limited number of image samples of individuals for face verification and recognition process such as passport, driving licenses, photo ID etc. So use of computer system becomes challenging task, when image samples available per person for training and testing of system are limited. We are proposing a robust face recognition system based on Tetrolet, Local Directional Pattern (LDP) and Cat Swam Optimization (CSO) to solve this problem. Initially, the input image is pre-processed to extract region of interest using filtering method. This image is then given to the proposed descriptor, namely Tetrolet-LDP to extract the features of the image. The features are subjected to classification using the proposed classification module, called Cat Swarm Optimization based 2-Dimensional Hidden Markov Model (CSO-based 2DHMM) in which the CSO trains the 2D-HMM. The performance is analyzed using the metrics, such as accuracy, False Rejection Rate (FRR), & False Acceptance Rate (FAR) and the system achieves high accuracy of 99.65%, and less FRR and FAR of 0.0033 and 0.003 for training percentage variation and 99.65%, 0.0035 and 0.004 for k-Fold Validation." @default.
- W2984156961 created "2019-11-22" @default.
- W2984156961 creator A5006355592 @default.
- W2984156961 creator A5048548313 @default.
- W2984156961 creator A5081492628 @default.
- W2984156961 creator A5083370047 @default.
- W2984156961 creator A5089935345 @default.
- W2984156961 date "2019-01-01" @default.
- W2984156961 modified "2023-10-06" @default.
- W2984156961 title "A Robust Face Recognition System for One Sample Problem" @default.
- W2984156961 cites W1577517492 @default.
- W2984156961 cites W1583314974 @default.
- W2984156961 cites W1989702938 @default.
- W2984156961 cites W2017035240 @default.
- W2984156961 cites W2047836041 @default.
- W2984156961 cites W2057747179 @default.
- W2984156961 cites W2104300442 @default.
- W2984156961 cites W2107369107 @default.
- W2984156961 cites W2116888754 @default.
- W2984156961 cites W2161844191 @default.
- W2984156961 cites W2166335841 @default.
- W2984156961 cites W2169952426 @default.
- W2984156961 cites W2277123687 @default.
- W2984156961 cites W2344886295 @default.
- W2984156961 cites W2472478083 @default.
- W2984156961 cites W4255064352 @default.
- W2984156961 doi "https://doi.org/10.1007/978-3-030-34879-3_2" @default.
- W2984156961 hasPublicationYear "2019" @default.
- W2984156961 type Work @default.
- W2984156961 sameAs 2984156961 @default.
- W2984156961 citedByCount "6" @default.
- W2984156961 countsByYear W29841569612020 @default.
- W2984156961 countsByYear W29841569612022 @default.
- W2984156961 countsByYear W29841569612023 @default.
- W2984156961 crossrefType "book-chapter" @default.
- W2984156961 hasAuthorship W2984156961A5006355592 @default.
- W2984156961 hasAuthorship W2984156961A5048548313 @default.
- W2984156961 hasAuthorship W2984156961A5081492628 @default.
- W2984156961 hasAuthorship W2984156961A5083370047 @default.
- W2984156961 hasAuthorship W2984156961A5089935345 @default.
- W2984156961 hasConcept C111919701 @default.
- W2984156961 hasConcept C115961682 @default.
- W2984156961 hasConcept C144024400 @default.
- W2984156961 hasConcept C153180895 @default.
- W2984156961 hasConcept C154945302 @default.
- W2984156961 hasConcept C23224414 @default.
- W2984156961 hasConcept C2779304628 @default.
- W2984156961 hasConcept C31510193 @default.
- W2984156961 hasConcept C31972630 @default.
- W2984156961 hasConcept C36289849 @default.
- W2984156961 hasConcept C41008148 @default.
- W2984156961 hasConcept C98045186 @default.
- W2984156961 hasConceptScore W2984156961C111919701 @default.
- W2984156961 hasConceptScore W2984156961C115961682 @default.
- W2984156961 hasConceptScore W2984156961C144024400 @default.
- W2984156961 hasConceptScore W2984156961C153180895 @default.
- W2984156961 hasConceptScore W2984156961C154945302 @default.
- W2984156961 hasConceptScore W2984156961C23224414 @default.
- W2984156961 hasConceptScore W2984156961C2779304628 @default.
- W2984156961 hasConceptScore W2984156961C31510193 @default.
- W2984156961 hasConceptScore W2984156961C31972630 @default.
- W2984156961 hasConceptScore W2984156961C36289849 @default.
- W2984156961 hasConceptScore W2984156961C41008148 @default.
- W2984156961 hasConceptScore W2984156961C98045186 @default.
- W2984156961 hasLocation W29841569611 @default.
- W2984156961 hasOpenAccess W2984156961 @default.
- W2984156961 hasPrimaryLocation W29841569611 @default.
- W2984156961 hasRelatedWork W1775397219 @default.
- W2984156961 hasRelatedWork W1899364738 @default.
- W2984156961 hasRelatedWork W2103413230 @default.
- W2984156961 hasRelatedWork W2134472250 @default.
- W2984156961 hasRelatedWork W2248182120 @default.
- W2984156961 hasRelatedWork W2347601237 @default.
- W2984156961 hasRelatedWork W2663901905 @default.
- W2984156961 hasRelatedWork W2897995864 @default.
- W2984156961 hasRelatedWork W2908959303 @default.
- W2984156961 hasRelatedWork W43171467 @default.
- W2984156961 isParatext "false" @default.
- W2984156961 isRetracted "false" @default.
- W2984156961 magId "2984156961" @default.
- W2984156961 workType "book-chapter" @default.