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Please use this identifier to cite or link to this item: http://hdl.handle.net/123456789/208

Title: Criminal Identification System Using Face Recognition & Fingerprint Identification
Authors: Fernando, W. H. R.
Karunaratne, C.
Vimukthi, M. L. D. M
Saneek, S.
Atapattu, H.T.K.
Jayawardena, C.
Keywords: Biometrics
Face Recognition
Fingerprint Identification
Principal Component Analysis
Issue Date: Dec-2009
Publisher: SLIIT
Citation: PSRS2009
Series/Report no.: SLIIT/LIB/;
Abstract: Generic face recognition systems identify a person by comparing a digital image of that person with images in an existing face database. These systems facilitate criminal identification but are constrained by the use of a single biometric identification technique. This paper presents a web-based multimodal biometrics system with a centralized database that uses face recognition and fingerprint identification to identify a criminal with higher precision. The system makes use of the Principal Component Analysis based face recognition technique using the distance between nodal points to match face images. Existing methodologies were researched on various image processing techniques and face recognition techniques to come up with a more efficient flexible system that can be used in a practical environment.
URI: http://hdl.handle.net/123456789/208
ISSN: 1800-3591
Appears in Collections:NCTM - SLIIT 2009

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