Finger- image Segmentation using K-means clustering and a comparative analysis with L*A*B* method and detection of the segment using Correlation and Fourier-Series

Authors

  • Pritesh Ghogale Dept. of EXTC, Pillai Institute of Information Technology, Engineering, Media Studies & Research, New Panvel, India
  • Abhishek Parulekar Dept. of EXTC, Pillai Institute of Information Technology, Engineering, Media Studies & Research, New Panvel, India
  • Ketki Phadke Dept. of EXTC, Pillai Institute of Information Technology, Engineering, Media Studies & Research, New Panvel, India
  • Nikita Patil Dept. of EXTC, Pillai Institute of Information Technology, Engineering, Media Studies & Research, New Panvel, India

Keywords:

K-means, L*A*B*, Correlation, Fourier -Series, Finger

Abstract

Image segmentation is an important component in many image analysis and computer vision tasks.
Finger-print recognition security systems deploy dormant, contact based scanners that rob the system of its viable
flexibility. In this paper, foundation for a contactless finger-image recognition system is laid. Using K-means
clustering method, finger images, captured using smart-phones, are segmented to extract the finger region. The
same is accomplished using L*A*B* image segmentation algorithm, and a comparative analysis is framed.
Basically a computer based application, Contactless security system demands an automated tool dedicated for
identifying the desired finger-segment from the complete image. For this purpose, two independent algorithms,
namely- correlation and FFT are practiced. The earlier segmentation results, obtained from both the methods, are
employed in these algorithms and the results are scrutinized.

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Published

2015-08-25

How to Cite

Pritesh Ghogale, Abhishek Parulekar, Ketki Phadke, & Nikita Patil. (2015). Finger- image Segmentation using K-means clustering and a comparative analysis with L*A*B* method and detection of the segment using Correlation and Fourier-Series. International Journal of Advance Research in Engineering, Science & Technology, 2(8), 59–54. Retrieved from https://ijarest.org/index.php/ijarest/article/view/276

Issue

Vol. 2 No. 8 (2015): Volume: 02, Issue: 08 - August, 2015.

Section

Articles