From 294f43d7ac580dca000f0915be596f5726e69143 Mon Sep 17 00:00:00 2001
From: Utkarsh Deshmukh <d_utkarsh@yahoo.co.in>
Date: Thu, 12 Nov 2020 12:33:59 -0800
Subject: [PATCH] Update README.md

---
 README.md | 21 ++++++++++++++++++---
 1 file changed, 18 insertions(+), 3 deletions(-)

diff --git a/README.md b/README.md
index 2797ad9..8956de5 100644
--- a/README.md
+++ b/README.md
@@ -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