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Convex Optimization-Based Filter Bank Design for Contact Lens Detection

  • Swati Madhe
  • Raghunath Holambe
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 810)

Abstract

We have designed a novel convex optimization-based filter bank (FB), which minimizes the frequency band errors and optimizes time–frequency localization at the same time. The designed FB is regular and satisfies the constraint of perfect reconstruction (PR). In convex optimization, we have optimized quadratic constrained quadratic programs by transforming it into a semidefinite program. We have also compared the frequency band errors and time–frequency localization of proposed FB with existing FB. We have used this FB for designing a new contact lens detection (CLD) system. The IIITD database has been used for this purpose. The results have been expressed in terms of correct classification rate (CCR). The superiority of the designed FB has been shown by comparing the results with other existing CLD systems. The newly designed FB can also be effectively used for various signal processing applications.

Keywords

Filter bank Convex optimization Frequency band errors 

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Copyright information

© Springer Nature Singapore Pte Ltd. 2019

Authors and Affiliations

  1. 1.Cummins College of EngineeringPuneIndia
  2. 2.SGGS College of Engineering and TechnologyNandedIndia

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