Fingerprints are the oldest and mos

Fingerprints are the oldest and most widely used form of
biometric identification. Everyone is known to have unique,
immutable fingerprints. As most Automatic Fingerprint
Recognition Systems are based on local ridge features known as
minutiae, marking minutiae accurately and rejecting false ones is
very important. However, fingerprint images get degraded and
corrupted due to variations in skin and impression conditions.
Thus, image enhancement techniques are employed prior to
minutiae extraction. A critical step in automatic fingerprint
matching is to reliably extract minutiae from the input fingerprint
images. This paper presents a review of a large number of
techniques present in the literature for extracting fingerprint
minutiae. The techniques are broadly classified as those working
on binarized images and those that work on gray scale images
directly.

Results (English) 1:

Fingerprints are the oldest and most widely used form of biometric identification. Everyone is known to have unique, immutable fingerprints. As with most Automatic Fingerprint Recognition Systems are based on local ridge features known as minutiae, accurately and rejecting false minutiae ones marking is very important. However, fingerprint images get degraded and corrupted due to variations in skin and impression conditions. Thus, image enhancement techniques are employed prior to minutiae extraction. A critical step in automatic fingerprint matching is to reliably extract minutiae from the input fingerprint images. This paper presents a review of a large number of techniques present in the literature for extracting fingerprint minutiae. The techniques are broadly classified as those working on binarized images and those that work on gray scale images directly.

Results (English) 2:

Fingerprints are the oldest and most widely used form of
biometric identification. Everyone is known to have unique,
immutable Fingerprints. As most Fingerprint Automatic
Recognition Systems are based on features known as local ridge
minutiae, minutiae marking accurately and rejecting false ones is
very important. Tuy nhiên, fingerprint images get degraded and
corrupted Due to variations in skin and impression conditionsEND_SPAN.
Thì, image enhancement are employed prior to TECHNIQUES
minutiae extraction. A critical step in automatic fingerprint
matching is to reliably extract the fingerprint minutiae from the input
images. This paper presents a review of a large number of
TECHNIQUES present in the literature for extracting fingerprint
minutiae. The broadly classified as những TECHNIQUES are working
on binarized images and những có work on gray scale images
trực.