Designing Gabor filters for optimal texture separability

By David A Clausi, M. Ed Jernigan. Pattern Recognition, 2000

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Iris Recognition Based on Multichannel Gabor Filtering (2002, background): “The choices of the parameters of Gabor filters are discussed in [14].”
Iris recognition using circular symmetric filters (2002, methodology): “The choice of the parameters in Equation (1) is similar to that of Gabor filter [10].”
Local Binary Patterns and Extreme Learning Machine for Hyperspectral Imagery Classification (2015, background): “A Gabor filter [36], [37] can be viewed as an orientationdependent bandpass filter, which is orientation-sensitive and rotation-variant.”
A modified Gabor filter design method for fingerprint image enhancement (2003, methodology): “For texture analysis, some principles of parameter selection are proposed (e.g. Jain and Farrokhnia, 1991; Clausi and Jernigan, 2000) based on comparison between the output of the human visual system and the Gabor filter response.”
Personal Identification Based on Iris Texture Analysis (2003, methodology): “In the spatial domain, one can extract information of an image at a certain orientation and scale using some specific filters, such as Gabor filters [33], [34], [35], [36], [37].”