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<records>

  <record>
    <language>eng</language>
          <publisher>Oriental Scientific Publishing Company</publisher>
        <journalTitle>Biomedical and Pharmacology Journal</journalTitle>
          <issn>0974-6242</issn>
            <publicationDate>2017-03-25</publicationDate>
    
        <volume>10</volume>
        <issue>1</issue>

 
    <startPage>467</startPage>
    <endPage>472</endPage>

	 
      <doi>10.13005/bpj/1131</doi>
        <publisherRecordId>13424</publisherRecordId>
    <documentType>article</documentType>
    <title language="eng">Evolution of Gait Biometric System and Algorithms-A Review</title>

    <authors>
	 


      <author>
       <name>A. Surendar</name>

 
		
	<affiliationId>1</affiliationId>
      </author>
    

	

	

	


	


	
    </authors>
    
	    <affiliationsList>
	    
		
		<affiliationName affiliationId="1">Vignan’s University, Guntur.</affiliationName>
    

		
		
		
		
		
	  </affiliationsList>






    <abstract language="eng">In the modern world scrutinizing the image holds its important for recognition of a person. Digital Image processing for quite a long time has been used for these purposes. As days rolled on a new branch evolved called as computer vision which contains computer based algorithm for analyzing the images. Computer vision duplicates the visual property of a human and do the same electronically by use of improved algorithms. It is an artificial system that extracts information from the images. The image data can be a video sequence or a multidimensional data obtained from cameras or image scanners. Many recognition systems exit and one such is Gait recognition. Gait recognition is based on obtaining the information of a person using walking gesture. The gait images are obtained and segmented as gait energy images. The accuracy is improved by using modified Gabor PDF and LGSR (Locality Constrained Group Sparse Representation) algorithm.</abstract>

    <fullTextUrl format="html">https://biomedpharmajournal.org/vol10no1/evolution-of-gait-biometric-system-and-algorithms-a-review/</fullTextUrl>

<keywords language="eng">

      
        <keyword>Gait Analysis</keyword>
      

      
        <keyword> Matching Accuracy</keyword>
      

      
        <keyword> Timing</keyword>
      

      
        <keyword> Energy Images</keyword>
      

      
        <keyword> segmentation</keyword>
      
</keywords>
  </record>
</records>