Journal article Open Access

Role of Economics and Allied Sciences into Information and Computing fields: Emphasizing Economics & IT Programs—World and Indian Context

P. S. Aithal; P. K. Paul

In Filtering contrast, brightness and normalization of the image are

performed with an ultimate goal to remove or reduce the noise to a maximum extent.

Contrast and Brightness are two major factors, which affect the superiority of an

image for easy or stainless or pleasant viewing. Equalization through Histogram (HE)

is a very famous approach for image contrast adjustment or enhancement in image

processing. In general, the histogram equalization distributes pixel values consistently

and produces an outcome in a superior image with the linear increasing histogram.

Contrast adjustment is the part of image preprocessing and specifically filtering noise.

In this paper, the new algorithm is discussed for a Grayscale Fingerprint image. The

algorithm tunes pixel intensity value to a higher intensity value based on a constant

value τ. In this paper, we compare the new algorithm with Histogram Equalization

and try to find its advantages and disadvantages. This method is effectively used in

Fingerprint Identification/verification purpose as an alternative for image filtering.

The algorithm is implemented using MATLAB2015a

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