Matlab-based fingerprint image feature extraction
Abstract
With the development of society, the traditional safety system based on keepsake and
password has been weaker, Which can not meet the requirement of modern safety system. In
this case, the need of a more reliable safety system with higher anti-fake performance prompts
the appearance of fingerprint identification technique. This technique, with a higher safety
and reliable performance, can improve the reliability of identity resolution in virtue of human
body’s physiological feature, and it has been a research focus these days.
Fingerprint identification falls into three parts, they are pretreatment, feature extraction,
and characteristic matching. The thesis mainly focus feature extraction, it optimized and
innovated some key algorithms of this parts, which can be described as follows: in the feature
extraction part, the thesis used a eight-neighborhood coding ridge tracing algorithm, removing
some templates of consecutive points and bifurcate points which have been optimized and
removed in the thinning algorithm, and finally marking terminate points as well as bifurcate
Points to execute feature extraction. Experiment result indicated that such new algorithm has
a less operation but with a higher accuracy. All the algorithms introduced above have been
implemented on Matlab, and result proved an adaptive good effect, which facilitates the next
characteristic matching process.
Key words: Feature extraction, Removing of false characteristic points, Algorithm simulate
