• DocumentCode
    117693
  • Title

    Improved navigation for visually challenged with high authentication using a modified sift algorithm

  • Author

    Kumar, A. Lakshmana ; Ganesan, Rajeshwari

  • Author_Institution
    Dept. of VLSI Design, Sethu Inst. of Technol., Madurai, India
  • fYear
    2014
  • fDate
    6-8 March 2014
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    This project describes the use of SIFT algorithm for the purpose of giving support to Blind and visually impaired. It is a greater challenge for the visually impaired and blind people´s to work alone and to satisfy their Needs. The main things that a Blind can need are to identify an Object, Image Recognition, Face recognition. This paper Satisfies the Blind People´s Needs by using the SIFT algorithm. SIFT algorithm is mainly based on the object and image retrieval method. Using image processing Tools in MATLAB to implement the SIFT algorithm to the Images. Improve the quality of life for the visually impaired by restoring their ability to self-navigate. Provide the Authenticated Information. Improve the mobility without an external help using Self navigation and Person Identification.
  • Keywords
    face recognition; handicapped aids; image retrieval; navigation; object recognition; Matlab; authenticated information; blind people; face recognition; high authentication; image processing tools; image recognition; image retrieval method; modified SIFT algorithm; object identification; object retrieval method; person identification; self navigation; Algorithm design and analysis; Databases; Eigenvalues and eigenfunctions; Feature extraction; Histograms; Image edge detection; Navigation; Difference of Gaussian; SIFT; VGA; image matching; key points; scale invariance; scale space;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Green Computing Communication and Electrical Engineering (ICGCCEE), 2014 International Conference on
  • Conference_Location
    Coimbatore
  • Type

    conf

  • DOI
    10.1109/ICGCCEE.2014.6922288
  • Filename
    6922288