Image Enhancement in Frequency Domain Fingerprint Detection and Matching Approach

In digital image processing image enhancement techniques are used to improve the observation, perception and interpretability of the image information through human visual system. Image enhancement is implemented in spatial domain approach that operates directly to the pixels and frequency domain approach that operates through Fourier transform of an image. Image enhancement techniques in frequency domain are useful in different fields like early detection of physiological disorder, remote sensing, forensic science and biometric science. This implementation is done in frequency domain approach that means sharpening, smoothing and homomorphic filters are designed, implemented and image is enhanced to give the better input to the image processing automated techniques like biomedical, recognition and matching applications. In this research work, frequency domain Fourier transform techniques are designed and implemented for fingerprint detection and matching social applications. The frequency domain analysis performance is measured with performance measures which are peak signal to noise ratio and contrast to noise ratio with mean and variance. The fingerprint detection and matching progression technique is usually disintegrated into image pre-processing, matching and extraction. The designed, implemented and presented results of this research work will be very useful in social forensic science fingerprint matching different applications to improve the accuracy before applying to matching process.