FINGERPRINT IMAGE QUALITY ANALYSIS (TA-L3)

Author(s) : Eyung Lim (Centre for Signal Processing, Singapore) Kar-Ann Toh (Institute for Infocomm Research, Singapore) P.N. Suganthan (Nanyang Technological University, Singapore) Xudong Jiang (Institute for Infocomm Research, Singapore) Wei-Yun Yau (Institute for Infocomm Research, Singapore)

Abstract : This paper discusses methods in evaluating fingerprint image quality on a local level. Feature vectors covering directional strength, sinusoidal local ridge/valley pattern, ridge/valley uniformity and core occurrences are first extracted from fingerprint image sub-blocks. Each sub-block is then assigned a quality level through pattern classification. Three different classifiers are employed to compare each of its different effectiveness. Positive results have been obtained based on our database.

Menu