ABSTRACT
Fingerprint recognition is a promising factor for the Biometric Identification and authentication process. The
quality of the fingerprint is obtained by the noise free image. To get a noise-free fingerprint image, the preprocessing techniques are applied on image. In this paper, we described the finger print classifications,
characteristics and preprocessing techniques. We applied the histogram on 256 gray scale finger print image with
the default threshold value; then the histogram-equalized image is obtained. Next, histogram-equalized image is
given under the binarization process. Finally the binarized fingerprint image is filtered with the implementation
of the Median filtering technique in order to produce the noise free image. The comparison of the median filtered
image with the original noisy image shows the depth of the noise spread in the original image. The experimental
result shows the noise rate which was eliminated in the input fingerprint image and quality of the filtered image
using the Statistical –Correlation tool.
Keywords: - Authentication, Binarization, Histogram, Identification, Median filter.