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fingerprint-feature-extractor
Advanced tools
extracts the minutiae features from fingerprint images.
Features that are extracted:
a) Terminations: These are the minutiae end points --> associated feature includes location of the minutiae point(LocX, LocY), and "theta", the angle of the ridge
b) Bifurcations: These are points where one ridge gets splits into two --> associated feature includes location of the minutiae point(LocX, LocY), and "theta1", "theta2", "theta3", the three angles of the ridges
This library extracts fingerprint minutiae features which is necessary in biometric recognition systems applications.
To install, run:
```
pip install fingerprint-feature-extractor
```
```Python
import fingerprint_feature_extractor
img = cv2.imread('image_path', 0) # read the input image --> You can enhance the fingerprint image using the "fingerprint_enhancer" library
FeaturesTerminations, FeaturesBifurcations = fingerprint_feature_extractor.extract_minutiae_features(img, spuriousMinutiaeThresh=10, invertImage=False, showResult=True, saveResult=True)
```
As easy as that!
FAQs
extract fingerprint minutiae features
We found that fingerprint-feature-extractor demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 1 open source maintainer collaborating on the project.
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