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A Novel Approach to the ROI Extraction in Palmprint Classification

  • Swati R. Zambre
  • Abhilasha Mishra
Conference paper
Part of the Smart Innovation, Systems and Technologies book series (SIST, volume 106)

Abstract

Biometric Person Identification (BPI) plays important role in the security for the purposes of authentication, as pins and password are never reliable for certification. Recently in the biometric systems, touchless palmprint recognition system has focused on flexibility, more personal hygiene, and less time consumption. However, identification using touchless or pegless images also faces several severe challenges to find palm areas such as variations in rotation, shift/size, and complex background. In this paper, a robust rotation invariant, size/scale invariant preprocessing method for touchless palmprint has been proposed. This method has been implemented on standard databases of CASIA and IITD, where images are captured using the pegless/touchless scenario with a lot of variations in the rotation as well as the size of the palm.

Keywords

Palmprint Preprocessing Pegless databases Touchless database Rotation invariant 

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Copyright information

© Springer Nature Singapore Pte Ltd. 2019

Authors and Affiliations

  1. 1.Department of Electronics and TelecommunicationMaharashtra Institute of TechnologyAurangabadIndia

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