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Update README.md
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Utkarsh-Deshmukh authored Nov 12, 2020
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Expand Up @@ -5,9 +5,24 @@ The important fingerprint minutiae features are the ridge endpoints (a.k.a. Term

The feature set for the image consists of the location of Terminations and Bifurcations and their orientations

# Running the source files
- run the file main.py
- the input image is stored in the folder "enhanced". If the input image is not enhanced, the minutiae features will be very noisy
## Installation and Running the tests

## method 1
```
pip install fingerprint-feature-extractor
```

**Usage:**
```
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, showResult=True)
```
## method 2
- from the src folder, run the file "main.py"
- **the input image is stored in the folder "enhanced".**
***If the input image is not enhanced, the minutiae features will be very noisy***

# Libraries needed:
- opencv
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