Palm Recognition SDK
Last updated
Last updated
World's First Palm Recognition SDK for Any RGB Camera – On-Premise, Real-Time, and High Accuracy
Introducing the world’s first Palm Recognition SDK that works seamlessly with images captured by any standard RGB camera. Designed for developers, this powerful SDK enables easy integration of real-time, high-accuracy palm recognition into your applications using advanced deep learning models.
Unlike cloud-based solutions, our SDK is fully on-premise, ensuring that all data is processed locally on your server — delivering maximum data privacy and security. No internet connection is required, and no biometric data ever leaves your machine.
Perfect for secure authentication, access control, and enterprise-grade biometric solutions.
Please download anaconda on your computer and install it. We used Windows machine without GPU for testing
Create anaconda environment
Activate the environment
Install dependencies
Compare two palm images in the test_images
directory
classify_hand(mp_hands, hand_landmarks, image_width): determine if the hand is left hand or right hand
extract_roi(hands, mp_hands, img_path): extract region of interest from the palm image for template matching
extract_features(mp_hands, hands, path: str): extract template from the plam image specified by the path parameter
compare_two_images(mp_hands, hands, image_path1, image_path2, similarity_threshold=0.8): compare two hand images to determine if they are the same hand or not.