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Fingerprint Image Segmentation using Global Thresholding


Author : Rupali Telgad, Almas M. N. Siddiqui and Prapti D. Deshmukh

Pages : 216-219
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Abstract

In fingerprints minutiae can be used as identification marks for fingerprint verification. For minutiae extraction in fingerprints with varying quality this paper uses preprocessing in form of image enhancement and binarization is first applied on fingerprints before they are evaluated. Then Image segmentation is used for the finger print image processing in that case the block direction estimation and ROI is used . Many methods have been combined to build a minutia extractor and a minutia matcher. It is necessary to segment the image before recognizing the finger print images. For this several image segmentation approaches are available to segment the image, to change the representation of the image or to simplify the image to make it more meaningful and easy to analyse. Image segmentation is the process of partitioning an image into multiple segments. This paper is describing the approach to image segmentation by performing direction flow and the ROI. Also this approach will be very helpful in digital image watermarking application for more efficient embedding of watermark.

Keywords: component: Minutia , Region of Interest(ROI),Finger print

Article published in International Journal of Current  Engineering  and Technology, Vol.4,No.1 (Feb- 2014)

 

 

 

 

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