An Application of Second Derivative of Gaussian Filters in Fingerprint Image Enhancement

摘要：

In this paper we demonstrate the use of second derivative of Gaussian filters (SDG) together with pyramid technique for fingerprint image enhancement. The quality of enhanced image is measured by the success in core point detection employing poincare method. DB1-A of FVC-2004 database is used as an input in our experiment. It is found that the SDG works well and can offer the similar filtering performance as another directional filter: Gabor filter. Once the SDG is employed in the pyramid technique, the enhanced image is superior to that of applying SDG only (without pyramid scheme).

作者: Somsak Choomchuay Keokanlaya Sihalath

作者单位: Faculty of Engineering King Mongkut’s Institute of Technology Ladkrabang Bangkok 10520, Thailand Faculty of Engineering National University of Laos Vientiane, Lao PDR

会议类型: 国际会议

会议名称: The 4th International Conference on Bioinformatics and Biomedical Engineering(第四届IEEE生物信息与生物医学工程国际会议 iCBBE 2010)

会议地点: 成都

会议语种:英文

页码: 1-4

在线出版日期: 2010-06-18（万方平台首次上网日期，不代表论文的发表时间）