Fast extraction of multi-resolution Gabor features

Gabor filter responses are general purpose features for computer vision and image processing and have been very successful in many application areas, for example in bio- metric authentication (fingerprint matching, face detection, face recognition and iris recognition). In a typical feature construc...

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Bibliographic Details
Main Authors: Ilonen, J., Kamarainen, J.-K., Kalviainen, H.
Format: Conference Proceeding
Language:English
Subjects:
Application software
Authentication
Computer vision
Face detection
Face recognition
Fingerprint recognition
Frequency
Gabor filters
Image processing
Iris recognition
Citations: Items that cite this one
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Summary:Gabor filter responses are general purpose features for computer vision and image processing and have been very successful in many application areas, for example in bio- metric authentication (fingerprint matching, face detection, face recognition and iris recognition). In a typical feature construction, filters are utilised as a multi-resolution structure of several filters tuned to different frequencies and orientations. The multi-resolution structure is similar to wavelets, but the non-orthogonality of Gabor functions implies the main weakness: computational heaviness. The high computational complexity prevents their use in many real-time or near real-time tasks. In this study, an efficient sequential computation method for multi-resolution Gabor features is presented.
DOI:10.1109/ICIAP.2007.4362824