IMAGE ENHANCEMENT USING DIFFERENT FORMS OF HEX-GABOR FILTER: A COMPARATIVE ANALYSIS
European Journal of Molecular & Clinical Medicine,
2020, Volume 7, Issue 11, Pages 1483-1491
Abstract
An Integrated Automatic Fingerprint Detection Service (IAFDS) is used to analyze fingerprint image enhancement. Fingerprint images are typically improved by reducing unknown fact ration to identify good and clear fingerprints and Integrated Automatic Fingerprint Detection Service (IAFIS) is mainly to get accurate results. All images having some noisy data which are enhanced by using a filtering method which aims to improve output image with the components of spatial frequency, pixel directions of input image. An experimental description is useful improve fingerprint images using Gabor Filter (GF) is presented in this paper. Domain lattices are fixed in the certain limit range of spatial frequency and window Hanning are fixed. By adjusting all the given parameters of the proposed transformation function in the specified range, substantial improvement of contrast of masses is achieved along with the suppressing of background tissues. In this paper, we approach different filters with Hex-Gabor Filter (HBF) to enhance the fingerprint image to execute the two major operations which are preprocessing in image enhancement and interpolation method. It is because of these reasons numerous specialists have examined the chance of utilizing a hexagonal structure to speak to advanced pictures. Wavelet likewise have its own preferred position and joining wavelet and handling of pictures in Hexagonal structure, that additionally will give better execution, on the grounds that hexagonal wavelet incorporates the benefits of the hexagonal matrix alongside the wavelets. Using proposed HBF method, sigma value is 2/pi can be obtained and the value of sigma meaning is proven. An experimental findings demonstrate that the HBF increases the representation of the fingerprint better than other methods of filtering and removing features
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