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dc.contributor.authorRaviteja, T.;-
dc.contributor.authorKaranam, S-
dc.contributor.authorYeduguru, D.R.V.-
dc.date.accessioned2025-01-23T05:25:12Z-
dc.date.available2025-01-23T05:25:12Z-
dc.date.issued2011-12-
dc.identifier.citation10.1117/12.920068en_US
dc.identifier.urihttp://localhost:8080/xmlui/handle/123456789/2865-
dc.descriptionNITWen_US
dc.description.abstractHuman face detection plays a vital role in many applications like video surveillance, managing a face image database, human computer interface among others. This paper proposes a robust algorithm for face detection in still color images that works well even in a crowded environment. The algorithm uses conjunction of skin color histogram, morphological processing and geometrical analysis for detecting human faces. To reinforce the accuracy of face detection, we further identify mouth and eye regions to establish the presence/absence of face in a particular region of interest.en_US
dc.language.isoenen_US
dc.publisherProceedings of SPIE - The International Society for Optical Engineeringen_US
dc.subjectFace Detectionen_US
dc.subjectConnected Componenten_US
dc.titleA Robust Human Face Detection Algorithmen_US
dc.typeOtheren_US
Appears in Collections:Computer Science & Engineering

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