The B-spline curve and surface provide an accurate tool to record object shape. We present a biometric identification system through hand geometry measurements by using B-spline curves. We use 4 B-spline curves to fit with fingers (except thumb) from a single hand image for a single person. Then we store these 4 curves as well as other geometry measurements of the hand as the "signature" of that person into the database. By computing the differences between the curves from database hand images and the curves from the query hand image using the point projection method, we are able to verify/identify the person by locating the closest database hand image to the query hand image.
|Title of host publication||Proceedings of the 17th International Conference on Pattern Recognition|
|Publication status||Published - 20 Sep 2004|
|Event||17th International Conference on Pattern Recognition - Cambridge, United Kingdom|
Duration: 23 Aug 2004 → 26 Aug 2004
|Conference||17th International Conference on Pattern Recognition|
|Abbreviated title||ICPR 2004|
|Period||23/08/04 → 26/08/04|