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!