Shaped Wavelets for Curvilinear Structures for Ear Biometrics
Mina Ibrahim, Mark Nixon and Sasan Mahmoodi
In: International Symposium on Visual Computing, 29 November- 1 December, Las Vegas, USA.

Abstract

One of the most recent trends in biometrics is recognition by ear ap-pearance in head profile images. Determining the region of interest which con-tains the ear is an important step in an ear biometric system. To this end, we propose a robust, simple and effective method for ear detection from profile im-ages by employing a bank of curved and stretched Gabor wavelets, known as banana wavelets. A 100% detection rate is achieved here on a group of 252 pro-file images from XM2VTS database. The banana wavelets technique demon-strates better performances than Gabor wavelets technique. This indicates that the curved wavelets are advantageous here. Also the banana wavelet technique is applied to a new and more challenging database which highlights practical considerations of a more realistic deployment. This ear detection technique is fully automated, has encouraging performance and appears to be robust to de-gradation by noise.

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