Accurate and reliable center point determination of the fingerprint is an essential pre-processing step for the image based fingerprint recognition approach. This step is particularly important since a reference point is required to cancel the variation in position of the reference and testing fingerprint image. This paper illustrated an automatic center point determination algorithm that couples the modified averaged square directional field (MASDF) with morphological operation, in order to pinpoint the center point of the fingerprint efficiently and accurately. The experiment result shows only 3.13% rejection rate for the false center point by using the proposed method.
|Title of host publication||AI 2003|
|Subtitle of host publication||Advances in Artificial Intelligence - 16th Australian Conference on AI, Proceedings|
|Editors||Tamas D. Gedeon, Lance Chun Che Fung, Tamas D. Gedeon|
|Number of pages||8|
|Publication status||Published - 2003|
|Event||16th Australian Conference on Artificial Intelligence, AI 2003 - Perth, Australia|
Duration: 2003 Dec 3 → 2003 Dec 5
|Name||Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)|
|Other||16th Australian Conference on Artificial Intelligence, AI 2003|
|Period||03/12/3 → 03/12/5|
Bibliographical notePublisher Copyright:
© Springer-Verlag Berlin Heidelberg 2003.
All Science Journal Classification (ASJC) codes
- Theoretical Computer Science
- Computer Science(all)