IMPLEMENTATION OF POSE INVARIANT FACE RECOGNITION USING EIGENFACE APPROACH
Published In: 1ST INTERNATIONAL CONFERENCE ON ADVANCES IN COMPUTER, ELECTRONICS AND ELECTRICAL ENGINEERING
Author(s): M. E. ASHALATHA , MALLIKARJUN S. HOLI
Abstract: Face recognition is one among the several techniques for identification and verification of an individual. The approach in the present work transforms face images into a small set of characteristic feature images called eigenfaces, which are the principal components of the initial training set of face images. Recognition is performed by projecting a new image into subspace spanned by eigenfaces, followed by computing the distance between the resultant position in the face space and those of known face classes
- Publication Date: 12-Mar-2012
- DOI: 10.15224/978-981-07-1847-3-812
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A PORE BASED PARTIAL FINGERPRINT VERIFICATION SYSTEM USING PROBABILISTIC LOCAL BINARY PATTERN
Published In: 1ST INTERNATIONAL CONFERENCE ON ADVANCES IN COMPUTER, ELECTRONICS AND ELECTRICAL ENGINEERING
Author(s): MALAY S BHATT , SHEETAL S SHAH
Abstract: Matching of partial fingerprint is an important challenge due to miniaturization of fingerprint sensors and small usable portion where partial fingerprint does not include details of minutiae points. Therefore sweat pores on fingerprint have proven to be useful feature. A common challenge to the pore based method is to extract pores from fingerprint images of the Automatic Fingerprint identification system rely on level 1 and level 2 features which can be extracted using 500ppi resolution. But the pores are extracted using 1000ppi. In the research paper, the local binary pattern and its variations applied to fingerprint verification system is discussed
- Publication Date: 12-Mar-2012
- DOI: 10.15224/978-981-07-1847-3-815
- Views: 0
- Downloads: 0