Determining the Standard Value of Acquisition Distortion of Fingerprint Images Based on Image Quality

This paper describes a novel procedure for determining the standard value of acquisition distortion of the fingerprint images. Knowledge about the standard value of acquisition distortion of the fingerprint images is very important in determining the method for improving image quality. In this paper, we propose a model to determine the standard value of acquisition distortion of the fingerprint images that can be used in classifying the type of distortion of the fingerprint images based on the image quality. The results shown that the standard value of acquisition distortion of the fingerprint images based on the image quality have values of a local clarity score (LCS) are as follows: dry parameter values is 0.0127-0.0149, neutral parameter values is less than 0.0127, and oily parameter values is greater than 0.0149; a global clarity score (GCS) are as follows: dry parameter values is 0.0117-0.0120, neutral parameter values is less than 0.0117, and oily parameter values is greater than 0.0120; and ridge-valley thickness ratio (RVTR) are as follows: dry parameter values is less than 7.7546E-05, neutral parameter values is 7.7546E-05-5.9366E-05, and oily parameter values is greater than 5.9366E-05.