Eye-Distance Based Mask Selection for Person Identification

Eye-Distance Based Mask Selection for Person Identification

This paper presents a multi-resolution masks based pattern matching method for person identification. The system is commenced with the construction of multi-resolution mask cluster pyramid, where the mask size is chosen depending on the distance between two eyes, computed from the detected face. Exp...

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Hauptverfasser: Rahman, K.A., Hossain, M.S., Bhuiyan, M.A.-A., Tao Zhang, Hasanuzzaman, M., Ueno, H.
Format: Tagungsbericht
Sprache:eng
Schlagworte:
Automation
Computational efficiency
Computer science
Convolution
Electronic mail
Eyes
Face detection
Informatics
multi-resolution masks
Pattern matching
person identification
Principal component analysis
single resolution mask
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Beschreibung
Zusammenfassung:This paper presents a multi-resolution masks based pattern matching method for person identification. The system is commenced with the construction of multi-resolution mask cluster pyramid, where the mask size is chosen depending on the distance between two eyes, computed from the detected face. Experimental results show the effectiveness of the system with significantly higher precision, recall rates and matching probability comparing with conventional single resolution mask based person identification systems.
DOI:10.1109/MUE.2009.30