
	<!DOCTYPE ArticleSet PUBLIC "-//NLM//DTD PubMed 2.0//EN" "http://www.ncbi.nlm.nih.gov:80/entrez/query/static/PubMed.dtd">
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	<Article> 

	<Journal> 

	<PublisherName>International Science Community Association</PublisherName>

	<JournalTitle>Research Journal of Engineering Sciences</JournalTitle> 

	<Issn>2278 - 9472</Issn>

	<Volume>6</Volume>

	<Issue>5</Issue>

	<PubDate PubStatus="ppublish"> 

	<Year>2017</Year> 

	<Month>06</Month> 

	<Day>26</Day> 

	</PubDate>

	</Journal>



	<ArticleTitle>Combining left and right palmprint for enhanced security using discrete wavelet packet transform</ArticleTitle> 


	<FirstPage>1</FirstPage>

	<LastPage>6</LastPage>



	<ELocationID EIdType="pii"></ELocationID>

	<Language>EN</Language> 
	<AuthorList>

	
		<Author> 

		<FirstName>Komal</FirstName>

		<MiddleName> </MiddleName>

		<LastName>Kashyap</LastName>

		<Suffix>1</Suffix>

		<Affiliation>Department of Electronics and Telecommunication, Bhilai institute of technology, Durg, India</Affiliation>

		</Author>
		<Author> 

		<FirstName>Ekta  </FirstName>

		<MiddleName> </MiddleName>

		<LastName>Tamrakar</LastName>

		<Suffix>2</Suffix>

		<Affiliation>Department of Electronics and Telecommunication, Bhilai institute of technology, Durg, India</Affiliation>

		</Author>

	<Author>

	<CollectiveName></CollectiveName>>

	</Author>

	</AuthorList>


	<PublicationType>Research Paper</PublicationType>


	<History>  
	<PubDate PubStatus="received">
	<Year>2017</Year>
	<Month>4</Month>
	<Day>8</Day>
	</PubDate>
	<PubDate PubStatus="accepted">										
	<Year>2017</Year> 
	<Month>06</Month>									
	<Day>26</Day> 
	</PubDate>

	</History>
	<Abstract>The aim of present research work on palmprint recognition using discrete wavelet packet transform (DWPT) algorithm for palmprint feature extraction and ANFIS (Adaptive Neuro-Fuzzy Inference System) for palmprint matching. Biometrics based fingerprint, face, iris recognition has been investigated over many year. Palmprint recognition is an emerging technology in recent years due to the transaction frauds, security breaches and personal identification etc. compare to fingerprint, palmprint contain rich features like, principle line, wrinkles, ridges, and minute points, it provides high standard security. This paper developing multibiometrics using left and right palmprint images and gives higher accuracy then single biometrics system. Registered IITD palmprint database is collected from IIT Delhi, biometric research library. It consist 2600 images from both left and right hand. This experiment perform palmprint recognition for enhance security using IITD database. MATLAB have been used as the programming tool to implement and investigate the performance of the palmprint recognition system using image processing toolbox.</Abstract>

	<CopyrightInformation>Copyright@ International Science Community Association</CopyrightInformation>

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