Distance-Based Method used to Localize the Eyeball Effectively for Cerebral Palsy Rehabilitation.

Iris plays a vital role in human life for object identification. Many models and techniques were proposed and suggested for detecting the Iris, but the accuracy was not achieved up to the level and its frequently used for biometric application. The Proposed Work divided into two steps, at first, we...

Full description

Bibliographic Details
Published in:Journal of Medical Systems Vol. 43; no. 8
Main Authors: Sumathy, G., Arokia Renjit, J.
Format: equations & formulas pictorial research tables/charts Journal Article
Published: Springer Nature Aug2019
Online Access:View this record in EBSCOhost
fields @attributes:
  recordID: 1
pdfLink:
plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=137490062&site=ehost-live
header:
  @attributes:
    shortDbName: ccm
    uiTerm: 137490062
    longDbName: CINAHL Complete
    uiTag: AN
  controlInfo:
    bkinfo:
    dissinfo:
    jinfo:
      jid:
        01485598
        4N0
      jtl: Journal of Medical Systems
      issn: 01485598
      maglogo: N
    pubinfo:
      dt: Aug2019
      vid: 43
      iid: 8
      pid: 237
      pub: Springer Nature
      place: New York, New York
    artinfo:
      ui:
        137490062
        137490062
        137490062
        10.1007/s10916-019-1405-3
        137490062
      ppct: 1
      formats:
        fmt:
          – @attributes:
              type: T
          – @attributes:
              type: P
      tig:
        atl: Distance-Based Method used to Localize the Eyeball Effectively for Cerebral Palsy Rehabilitation.
      aug:
        au:
          Sumathy, G.
          Arokia Renjit, J.
        affil: Department of CSE, Sathyabama Institute of Science and Technology, Chennai, India
      sug:
        subj:
          Cerebral Palsy Rehabilitation
          Iris Analysis
          Image Processing, Computer Assisted
          Human
          Biometrics
          Algorithms
          India
          Child, Preschool
          Child
          Adolescence
          Mathematics
          Funding Source
          Child, Preschool: 2-5 years
          Child: 6-12 years
          Adolescent: 13-18 years
      ab: Iris plays a vital role in human life for object identification. Many models and techniques were proposed and suggested for detecting the Iris, but the accuracy was not achieved up to the level and its frequently used for biometric application. The Proposed Work divided into two steps, at first, we detect the entire eye region outer layer by using mathematics first order derivatives by applying combinations of canny edge detection and circular hough transform. The next, we detect the inner portion of eye region that is Iris region is detected by combination of sobel edge detector and circular hough transform, As the results thereby reducing the error rate, marking the edges closest to the actual edges for maximizing the localization, indicating edges and also detect the inner and outer layer of the eye portions accurately. Finally this process is applied for cerebral palsy Children to detect the misalignment of eye and obtain the deviation position and results are compared with normal children eyes. In this context, image processing techniques are being recommended as a performance evaluation tool in cerebral palsy kids.
      pubtype: Academic Journal
      doctype:
        equations & formulas
        pictorial
        research
        tables/charts
        Journal Article
      ougenre: Article
    language: English
    refInfo:
    holdings:
      @attributes:
        islocal: N