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                            Library & Multimedia
 New directions in contact free hand recognition
NCJ Number
              305646

Author(s)
          Xiaoqian Jiang;
                        Wanhong Xu;
                        Latanya Sweeney;
                        Yiheng Li;
                        Ralph Gross;
                        Daniel Yurovsky
Date Published

2007
Length
              4 pages
Annotation
              This paper offers novel approaches to computing hand geometry measurements from frontal views of freely posed hands. These approaches offer advantages in hygiene, comfort, and reliability.
Abstract
              The ability to quickly compute hand geometry measurements from a freely posed hand offers advantages to biometric identification systems. Although hand geometry systems are not new, typical measurements of lengths and widths of fingers and palms require rigid placement of the hand against pegs. Slight deviations in hand position, finger stretch, or pressure can yield different measurements. The authors’ algorithm segments the hand from a known background under spotlights and locates feature points along the fingers and wrists. Given a database of 54 hand images, with three different images of the same hand of each subject, the developed approach uniquely identified a previously unseen hand with an overall accuracy of 92%. (Publisher abstract provided)
      
  
          Additional Details
Grant Number(s)
        2005-IJ-CX-K046


  
  
        
  Agencies
        NIJ-Sponsored


  
  
        
  Award
        HandShot ID: A Fast 3-D Imaging System for Capturing Fingerprints, Palm Prints and Hand Geometry
    
  
  
Date Published: January 1, 2007
    
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