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.
|Number of pages||4|
|Journal||Proceedings - International Conference on Image Processing, ICIP|
|Publication status||Published - 2004|
|Event||2004 International Conference on Image Processing, ICIP 2004 - , Singapore|
Duration: 2004 Oct 18 → 2004 Oct 21
All Science Journal Classification (ASJC) codes