FBFET: Fuzzy based fingerprint enhancement technique based on adaptive thresholding

Fingerprint image enhancement plays a vital role in fingerprint recognition process which is one of the commonly used biometrics traits. In fingerprint recognition, the initial process is enhancement. An efficient enhancement process will give high accuracy in human authentication. The quality of the fingerprint image is more important for increasing the performance of the recognition system. Our proposed methodology is designed to enhance the fingerprint image, i.e. reproduce the noise free image. The proposed method is designed to identify the noise pixel area and enhance that portion alone by using Fuzzy based filtering technique and adaptive thresholding. The proposed technique comprises of 4 stages such as 1) preprocessing 2) Fuzzy based filtering 3) adaptive thresholding 4) Morphological operation. The experimentation is done by using FVC2002 database and we obtained better PSNR when compared to the existing filtering techniques.