Abstract
A set of reliable techniques is presented in this paper. These techniques include enhancement and minutiae extraction that involve the clarity of the ridge and valley structures of the input fingerprint images based on the frequency and orientation of the local ridges and thereby extracting correct minutiae. Fingerprint image enhancement algorithms are evaluated and implemented to understand how the enhancement algorithm works and how well it is. Two types of features are presented in this job. (i) global ridge associated with central region of the fingerprint and (ii) minutiae associated with local ridge and furrows structure. Extraction of minutiae, involves a series of image enhancement such as normalization, ridge orientation estimation, filtering, thresholding, thinning and False minutiae removal. After applying image enhancement and minutiae extraction techniques on a set of images, we took as a sample, the results was perfect. The minutiae has been removed and a results, we got was in better condition. Nomenclatures:
Highlights
Fingerprint-based identification is one of the biometric techniques we use a lot adays
A fingerprint is a series of ridges and furrows on the surface of the finger [1], where a ridge is a single curved segment, and a valley is the region between two adjacent ridges
Fingerprint representations rely on locations of the minutiae and the directions of ridges at the minutiae location
Summary
Fingerprint-based identification is one of the biometric techniques we use a lot adays. Extraction of minutiae, involves a series of image enhancement such as normalization, ridge orientation estimation, filtering, thresholding, thinning and False minutiae removal. طرائق استخلاص التفاصيل الدقيقة لبصمة الإصبع قبل المعالجة وتتضمن,في هذا البحث استخدمت مجموعه من التقنيات لاستخلاص التفاصيل الدقيقة لبصمة الاصبع
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