Recognition of Dry and Blurred Fingerprint Using Local Entropy Thresholding Method

Journal Title: International Journal of Modern Engineering Research (IJMER) - Year 2012, Vol 2, Issue 1

Abstract

 Dry fingerprint has blurred image, because of overlapping of valleys, singular point to the fingertip and ridges. By using local entropy thresholding method, we extract the fingerprint images. This method is compared to canny filter images, sobel filter images and otsu algorithm images. This technique is used to enhance the contrast between valleys and ridges of the poor, medium and best image features. The experimental results gives the enhancement of the proposed method to get high performance compared with existing techniques.

Authors and Affiliations

T. Ravi, B. M. S. Rani , Ch. Rajesh Babu , Ch. Mounika , T. Prashanth, K. V. V. Kumar, M. Rakesh

Keywords

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  • EP ID EP157893
  • DOI -
  • Views 91
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How To Cite

T. Ravi, B. M. S. Rani, Ch. Rajesh Babu, Ch. Mounika, T. Prashanth, K. V. V. Kumar, M. Rakesh (2012).  Recognition of Dry and Blurred Fingerprint Using Local Entropy Thresholding Method. International Journal of Modern Engineering Research (IJMER), 2(1), 224-229. https://europub.co.uk/articles/-A-157893