• DocumentCode
    2538728
  • Title

    Speculation of Hand Features from Middle Finger Width: A Novel Approach

  • Author

    Kumar, C. N Ravi ; Manimala, S.

  • Author_Institution
    Dept. of CS & E, SJCE, Mysore, India
  • fYear
    2011
  • fDate
    17-18 Nov. 2011
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    The hands play a significant role in non-verbal communication. Hands may be affected by many disorders, most commonly traumatic injury. In treating hand problems, the mastery of anatomy is fundamental in order to provide the best quality of care. An attempt is made to predict all the geometric features of the hand only with the help of middle finger width. Geometric features of both the hands from 100 people of different age group were extracted from the silhouettes. The proposed method can be used to predict finger length, position of knuckles and also finger width at the first and second knuckle of all fingers using taalamana system and golden ratio. The estimation accuracy of more than 90% is achieved for all the estimated features of the hand except for thumb width which is 85%.
  • Keywords
    feature extraction; palmprint recognition; estimation accuracy; finger length; finger position; geometric feature; hand feature speculation; hand problem; middle finger width; nonverbal communication; taalamana system; thumb width; traumatic injury; Accuracy; Computer science; Conferences; Estimation; Humans; Thumb;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Hand-Based Biometrics (ICHB), 2011 International Conference on
  • Conference_Location
    Hong Kong
  • Print_ISBN
    978-1-4577-0491-8
  • Electronic_ISBN
    978-1-4577-0489-5
  • Type

    conf

  • DOI
    10.1109/ICHB.2011.6094316
  • Filename
    6094316