Palmprint Recognition using Multimodal Biometrics and Generation of One Time Password

S Pravarthika¹, S Babitha Rani², K Induja³

²Assistant Professor, ^1,3Department of Information Technology Department of Information Technology, Meenakshi College of Engineering, K K Nagar, Chennai, India

Abstract

Biometrics was developed with the aim of improving the overall security level in all society contexts. A biometric system describes a set of techniques to analyze certain individual's biometric features, store and then using those patterns to identify or verify the identity of a person. The palmprint contains not only principal curves and wrinkles but also rich texture and miniscule points, so the palmprint identification is able to achieve a high accuracy because of available rich information in palmprint. Various palmprint identification methods, such as coding based methods and principal curve methods have been proposed in past decades. In addition to these methods, subspace based methods can also perform well for palmprint identification. Combining the left and right palmprint images to perform multibiometrics is easy to implement and can obtain better results.

Multimodal biometrics can provide higher identification accuracy than single or unimodal biometrics, so it is more suitable for some real-world personal identification applications that need high-standard security. A onetime password is included for higher security and accuracy.

One time passwords generally expire after using once. They are generated for using it within a certain time period after which it is useless. These passwords are set as a secondary security measure for the primary palmprint recognition.

Keywords

• palmprints, biometrics, multimodal biometrics, One Time Password, matching score, feature extraction

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Cite this Article as Follows

S Pravarthika, S Babitha Rani, K Induja. "Palmprint Recognition using Multimodal Biometrics and Generation of One Time Password" International Conference on Computer Applications (2016): 110-114. Print.