This paper deals with the quality of the image itself as well as the algorithm used for evaluating the quality of the fingerprints to construct an effective algorithm for evaluating the quality of the fingerprints. The quality of the fingerprint is acquired by taking the regional quality of each fingerprint image. The regional quality is acquired by measuring the quality of the fingerprint in blocks in the enrollment stage. The amount of fingerprint varies according to the size of each block which makes the result unsteady. We concentrated on finding the right size for the block used to acquire the fingerprint image as a graphical element. Also, the quality distribution included in the fingerprint image was acquired when the optimal block size was adopted. The threshold value of this distribution rate is expected to be used to acquire a high classification.
['Jaehwa Park', 'Young-Bin Kwon']
Image quality measure using sliced block distance as a graphical element