Using B-spline curves for hand recognition

YingLiang Ma; Frank Pollick; W.T Hewitt

doi:10.1109/ICPR.2004.1334520

Using B-spline curves for hand recognition

YingLiang Ma, Frank Pollick, W.T Hewitt

University of Glasgow

Research output: Chapter in Book/Report/Conference proceeding › Conference proceeding › peer-review

50 Citations (Scopus)

Abstract

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 language	English
Title of host publication	Proceedings of the 17th International Conference on Pattern Recognition
Publisher	IEEE
ISBN (Print)	0-7695-2128-2
DOIs	https://doi.org/10.1109/ICPR.2004.1334520
Publication status	Published - 20 Sept 2004
Externally published	Yes
Event	17th International Conference on Pattern Recognition - Cambridge, United Kingdom Duration: 23 Aug 2004 → 26 Aug 2004

Conference

Conference	17th International Conference on Pattern Recognition
Abbreviated title	ICPR 2004
Country/Territory	United Kingdom
City	Cambridge
Period	23/08/04 → 26/08/04

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10.1109/ICPR.2004.1334520Licence: Unspecified

Cite this

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title = "Using B-spline curves for hand recognition",

abstract = "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.",

author = "YingLiang Ma and Frank Pollick and W.T Hewitt",

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AU - Ma, YingLiang

AU - Pollick, Frank

AU - Hewitt, W.T

PY - 2004/9/20

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N2 - 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.

AB - 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.

U2 - 10.1109/ICPR.2004.1334520

DO - 10.1109/ICPR.2004.1334520

M3 - Conference proceeding

SN - 0-7695-2128-2

BT - Proceedings of the 17th International Conference on Pattern Recognition

PB - IEEE

T2 - 17th International Conference on Pattern Recognition

Y2 - 23 August 2004 through 26 August 2004

ER -

Using B-spline curves for hand recognition

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