指纹识别-基于OpenCV实现的指纹识别算法-附项目源码.zip

# Python Fingerprint Recognition Fingerprint recognition with SKimage and OpenCV Requirements: - NumPy - SKimage - OpenCV2 Works by extracting minutiae points using harris corner detection. Uses SIFT (ORB) go get formal descriptors around the keypoints with brute-force hamming distance and then analyzes the returned matches using thresholds. Usage: 1. Place 2 fingerprint images that you want to compare inside the database folder 2. Pass the names of the images as arguments in the console ## Dockerfile If you don't want to install the libraries, or want a easier way to test the application you can follow the commands: ```shell docker build -t <name_of_your_choice> . docker run -it <name_of_your_choice> <fingerprint_1> <fingerprint_2> ``` If you don't have Docker Engine installed, you can get the instructions to install it here: [Install Docker](https://docs.docker.com/v17.09/engine/installation/) NOTE: the fingerprints must be in the `/database` folder