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- W2186212035 abstract "Overthelasttwodecades, several different techniques havebeenproposed forface recognition, whichisoneofthe challenging areas ofresearch inthefield ofimage processing, pattern recognition andvision applications. Automatic human faceidentification system, e.g.security checks andcrime investigation, etc. involves face recognition. Thebasic process consists ofextraction ofpotential, facialfeatures suchaseyes, nose, mouth, eyebrows, etc. Inthepresent paper, ageometrical face model proposed byShi-Hong Jengetal.forfrontal face images isimproved bytheinclusion ofearsandchinalsoas potential facial features, since itenhances thediscrimination ability oftheproposedface modelduringface recognition The developed approach isdivided into four mainsteps. Thefirst step ispreprocessing, thegoalofthis step istogetridofhigh intensity noises andtotransform theinput imageintobinary one.Thesecond step includes alabeling process, which label thefacial feature candidates byblock byblock. Thenfindthe center, areaandtheorientation ofeachfeature candidate. Third stepisageometrical model, usedtomeasure relative distances andtolocate theactual position oftheentire facial features. Finally, thematching process. Themodified face modelhasbeenexperimented withtestimagesandan enhanced success rate of94oo isachieved" @default.
- W2186212035 created "2016-06-24" @default.
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- W2186212035 date "2006-01-01" @default.
- W2186212035 modified "2023-09-27" @default.
- W2186212035 title "THE FACIALFEATURESEXTRACTION FOR FACERECOGNITIONBASEDON GEOMETRICAL APPROACH" @default.
- W2186212035 hasPublicationYear "2006" @default.
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