An alternative Gabor filtering scheme

An elementary function that is now commonly referred to as Gabor filter was derived from uncertainty relation for information by Gabor to overcome the representation limit of Fourier analysis. For image-based applications (e.g. biometric recognition), researchers amend the weights of Gabor filters to produce zero DC (direct current) Gabor filters. This amendment can significantly change the shape of Gabor filters, when they use a special range of parameters. The aim of this paper is to develop a new Gabor filtering scheme to overcome this problem. Two different types of zero DC Gabor filters are compared with the proposed scheme on face recognition. FERET database is employed in the experiments. The Gabor phase from the proposed filtering scheme gives improvement in the range between 11% and 8.5%, and the performance of its magnitude is comparable with other schemes.