Matches in SemOpenAlex for { <https://semopenalex.org/work/W3131999871> ?p ?o ?g. }
- W3131999871 endingPage "934" @default.
- W3131999871 startingPage "923" @default.
- W3131999871 abstract "BACKGROUND: Human-Computer Interaction (HCI) is incorporated with a variety of applications for input processing and response actions. Facial recognition systems in workplaces and security systems help to improve the detection and classification of humans based on the vision experienced by the input system. OBJECTIVES: In this manuscript, the Robotic Facial Recognition System using the Compound Classifier (RERS-CC) is introduced to improve the recognition rate of human faces. The process is differentiated into classification, detection, and recognition phases that employ principal component analysis based learning. In this learning process, the errors in image processing based on the extracted different features are used for error classification and accuracy improvements. RESULTS: The performance of the proposed RERS-CC is validated experimentally using the input image dataset in MATLAB tool. The performance results show that the proposed method improves detection and recognition accuracy with fewer errors and processing time. CONCLUSION: The input image is processed with the knowledge of the features and errors that are observed with different orientations and time instances. With the help of matching dataset and the similarity index verification, the proposed method identifies precise human face with augmented true positives and recognition rate." @default.
- W3131999871 created "2021-03-01" @default.
- W3131999871 creator A5016408387 @default.
- W3131999871 creator A5027978516 @default.
- W3131999871 creator A5029473192 @default.
- W3131999871 creator A5035822841 @default.
- W3131999871 creator A5046044880 @default.
- W3131999871 creator A5048170076 @default.
- W3131999871 creator A5059795059 @default.
- W3131999871 creator A5062509638 @default.
- W3131999871 date "2021-03-26" @default.
- W3131999871 modified "2023-09-27" @default.
- W3131999871 title "RERS-CC: Robotic facial recognition system for improving the accuracy of human face identification using HRI" @default.
- W3131999871 cites W2490036604 @default.
- W3131999871 cites W2513816873 @default.
- W3131999871 cites W2522919216 @default.
- W3131999871 cites W2532551278 @default.
- W3131999871 cites W2566495809 @default.
- W3131999871 cites W2585123518 @default.
- W3131999871 cites W2586372123 @default.
- W3131999871 cites W2606499982 @default.
- W3131999871 cites W2613754047 @default.
- W3131999871 cites W2616167242 @default.
- W3131999871 cites W2749886925 @default.
- W3131999871 cites W2793276644 @default.
- W3131999871 cites W2794884336 @default.
- W3131999871 cites W2802202233 @default.
- W3131999871 cites W2883780427 @default.
- W3131999871 cites W2884777772 @default.
- W3131999871 cites W2902273535 @default.
- W3131999871 cites W2913039608 @default.
- W3131999871 cites W2921036759 @default.
- W3131999871 cites W2963537829 @default.
- W3131999871 doi "https://doi.org/10.3233/wor-203426" @default.
- W3131999871 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/33612534" @default.
- W3131999871 hasPublicationYear "2021" @default.
- W3131999871 type Work @default.
- W3131999871 sameAs 3131999871 @default.
- W3131999871 citedByCount "0" @default.
- W3131999871 crossrefType "journal-article" @default.
- W3131999871 hasAuthorship W3131999871A5016408387 @default.
- W3131999871 hasAuthorship W3131999871A5027978516 @default.
- W3131999871 hasAuthorship W3131999871A5029473192 @default.
- W3131999871 hasAuthorship W3131999871A5035822841 @default.
- W3131999871 hasAuthorship W3131999871A5046044880 @default.
- W3131999871 hasAuthorship W3131999871A5048170076 @default.
- W3131999871 hasAuthorship W3131999871A5059795059 @default.
- W3131999871 hasAuthorship W3131999871A5062509638 @default.
- W3131999871 hasConcept C111919701 @default.
- W3131999871 hasConcept C115961682 @default.
- W3131999871 hasConcept C144024400 @default.
- W3131999871 hasConcept C153180895 @default.
- W3131999871 hasConcept C154945302 @default.
- W3131999871 hasConcept C27438332 @default.
- W3131999871 hasConcept C2779304628 @default.
- W3131999871 hasConcept C2780365114 @default.
- W3131999871 hasConcept C31510193 @default.
- W3131999871 hasConcept C31972630 @default.
- W3131999871 hasConcept C36289849 @default.
- W3131999871 hasConcept C40969351 @default.
- W3131999871 hasConcept C41008148 @default.
- W3131999871 hasConcept C4641261 @default.
- W3131999871 hasConcept C64869954 @default.
- W3131999871 hasConcept C9417928 @default.
- W3131999871 hasConcept C95623464 @default.
- W3131999871 hasConcept C98045186 @default.
- W3131999871 hasConceptScore W3131999871C111919701 @default.
- W3131999871 hasConceptScore W3131999871C115961682 @default.
- W3131999871 hasConceptScore W3131999871C144024400 @default.
- W3131999871 hasConceptScore W3131999871C153180895 @default.
- W3131999871 hasConceptScore W3131999871C154945302 @default.
- W3131999871 hasConceptScore W3131999871C27438332 @default.
- W3131999871 hasConceptScore W3131999871C2779304628 @default.
- W3131999871 hasConceptScore W3131999871C2780365114 @default.
- W3131999871 hasConceptScore W3131999871C31510193 @default.
- W3131999871 hasConceptScore W3131999871C31972630 @default.
- W3131999871 hasConceptScore W3131999871C36289849 @default.
- W3131999871 hasConceptScore W3131999871C40969351 @default.
- W3131999871 hasConceptScore W3131999871C41008148 @default.
- W3131999871 hasConceptScore W3131999871C4641261 @default.
- W3131999871 hasConceptScore W3131999871C64869954 @default.
- W3131999871 hasConceptScore W3131999871C9417928 @default.
- W3131999871 hasConceptScore W3131999871C95623464 @default.
- W3131999871 hasConceptScore W3131999871C98045186 @default.
- W3131999871 hasIssue "3" @default.
- W3131999871 hasLocation W31319998711 @default.
- W3131999871 hasOpenAccess W3131999871 @default.
- W3131999871 hasPrimaryLocation W31319998711 @default.
- W3131999871 hasRelatedWork W1560697087 @default.
- W3131999871 hasRelatedWork W1589930024 @default.
- W3131999871 hasRelatedWork W1989039360 @default.
- W3131999871 hasRelatedWork W2003685048 @default.
- W3131999871 hasRelatedWork W2271868403 @default.
- W3131999871 hasRelatedWork W2353697322 @default.
- W3131999871 hasRelatedWork W2532573070 @default.
- W3131999871 hasRelatedWork W2607108626 @default.
- W3131999871 hasRelatedWork W269042006 @default.
- W3131999871 hasRelatedWork W3162456779 @default.