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Pose Invariant Face Recognition Technique Based on Eigen Space Approach Using Dual Registration Techniques After Masking

  • Tumpa Dey
  • Dibyendu GhoshalEmail author
Conference paper
Part of the Springer Proceedings in Physics book series (SPPHY, volume 194)

Abstract

A novel method is proposed to solve different pose related problems related to face images in recognition system. The method removes the background of the image using masking. Subsequently, both training and testing images are registered by manual landmark detection and modeling the mapping process using affine transformation. The proposed method is found to solve the complications during scaling and rotation. Another registration method based on log-polar transformation is then proposed. Application of this method is found to improve arbitrary rotation angles and scale change. Lastly, log-polar images are projected into eigen space. These eigenface images are classified with the help of Euclidean distance. In the simulation based experimentation, IRIS face database is used. Recognition rate applying the proposed method is found to be 89.65%.

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Copyright information

© Springer Nature Singapore Pte Ltd. 2017

Authors and Affiliations

  1. 1.Department of ITWomen’s CollegeAgartalaIndia
  2. 2.Department of ECE and EIENIT AgartalaJirania, AgartalaIndia

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