Image Inpainting for Fingerprint Reconstruction

Numerous digital authentication systems have been developed by the researchers over the decades. Finger print-based identification is still widely used due to its many advantages. This is one of the most extensively used methods for employee identification in many organizations. It is most popular system adopted by corporate and private organizations for their employee monitoring. Digital gadget subscribers are also increasing tremendously over the decades. Most digital gadgets available in market uses fingerprint based user authentication. Under all these circumstances effective user identification is crucial which even include identification with damaged fingerprint impressions. It has been observed that owing to slight finger cuts or various scratches during winter season or burns of the finger screen affect the fingerprint impression. They appear damaged to interfere with the accuracy of user identification. The work presented in this paper investigates the possibilities of reconstructing the user fingerprint image using image in painting techniques. The fingerprint impression which is poor due to the skin conditions has to be reconstructed before used for authentication. The enhanced KNN-SVD method proposed here restores the damaged part of a unique fingerprint impression. The reconstructed fingerprint using.