Using B-spline curves for hand recognition

YingLiang Ma, Frank Pollick, W.T Hewitt

Research output: Chapter in Book/Report/Conference proceedingConference proceedingpeer-review

50 Citations (Scopus)


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.
Original languageEnglish
Title of host publicationProceedings of the 17th International Conference on Pattern Recognition
ISBN (Print)0-7695-2128-2
Publication statusPublished - 20 Sept 2004
Externally publishedYes
Event17th International Conference on Pattern Recognition - Cambridge, United Kingdom
Duration: 23 Aug 200426 Aug 2004


Conference17th International Conference on Pattern Recognition
Abbreviated titleICPR 2004
Country/TerritoryUnited Kingdom


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