Literature Survey On Fingerprint Recognition Using Level 3 Feature Extraction Method

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Provided by: International Journal Of Engineering And Computer Science
Topic: Security
Format: PDF
To design Level 3 fingerprint feature extraction method and match using SIFT algorithm. First of all fingerprint of good quality are acquired by using optical scanner. Normalization of image is done using Gaussian blurring and sliding window contrast adjustment. Pores are extracted and estimated. These estimated pores, are used to match from template database to stored database using SIFT algorithm. Scale Invariant Features Transform (SIFT) is an algorithm in computer vision to detect and describe local features in images. The features are invariant to image scaling and rotation. They are well localized in both the spatial and frequency domains.
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