Please use this identifier to cite or link to this item:
Full metadata record
DC FieldValueLanguage
dc.contributor.authorBakshi, S-
dc.contributor.authorKumari, S-
dc.contributor.authorRaman, R-
dc.contributor.authorSa, Pankaj K-
dc.identifier.citationInternational Conference on Modelling Optimization and Computing (ICMOC 2012)en
dc.descriptionCopyright belongs to Elsevieren
dc.description.abstractRecognition of a person through his face is the primitive mean of human identification. Identifying a person through face biometric have grown its importance through the last decade and researchers have attempted to find unique facial feature-points. Facial data also contains change with expression and age, which makes recognition through face difficult. And there has developed a stringent necessity to identify a person on partial facial data. These motives led researchers derive auxiliary biometric traits from facial image, viz. ear, lip and periocular region. In particular, periocular region has been exploited to examine the existence of uniqueness as there are many nodal points in periocular region. Classification and recognition is achieved through periocular region which shows significant accuracy, given the fact that periocular biometric uses only 25% of a complete face data.en
dc.format.extent186989 bytes-
dc.subjectPeriocular biometricen
dc.titleEvaluation of Periocular over Face Biometric: A Case Studyen
Appears in Collections:Conference Papers

Files in This Item:
File Description SizeFormat 
dspace_Evaluation of Periocular over Face Biometric_A Case Study.pdf182.61 kBAdobe PDFView/Open

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.