# Fingerprint-Feature-Extraction-Python
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
## Quickstart
This library extracts fingerprint minutiae features which is necessary in biometric recognition systems applications.
## Installation
To install, run:
```
pip install fingerprint-feature-extractor
```
## Usage:
```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!
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