kbyai/palmprint-recognition repository overview

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⁠Product & Resources

For more information, visit KBY AI's GitHub Repository⁠.

⁠PalmprintRecognition-Docker

⁠Overview

This Docker image demonstrates an efficient and accurate palmprint recognition technology by implementing palm-print comparison based on palmprint feature extraction and face matching algorithm, which was implemented via a Dockerized Flask API and Gradio. It includes features that allow for testing plamprint recognition between two images using both image files and base64-encoded images.

⁠Docker Run

• Pull docker image.

sudo docker pull kbyai/palmprint-recognition:latest

• Run docker container with license key file.

sudo docker run -v ./license.txt:/root/kby-ai-palmprint/license.txt -p 8081:8080 -p 9001:9000 kbyai/palmprint-recognition:latest

⁠SDK License

This project demonstrates KBY-AI's Palmprint Recognition Server SDK, which requires a license for each machine or instance on which it runs.

• To get the machine code for license, use the following syntax:

sudo docker run -e LICENSE="xxxxx" kbyai/palmprint-recognition:latest

• To request the license, please provide us with the machine code obtained from your console.

Contact us:
🧙Email: [email protected]⁠
🧙Telegram: @kbyai⁠
🧙WhatsApp: +13348402323⁠
🧙Discord: KBY-AI⁠
🧙Teams: KBY-AI⁠

⁠Online Demo

This SDK can be tested on online test demo page here⁠:

⁠Postman

The API can be evaluated through Postman tool. Here are the endpoints for testing:

• Test with an image file: Send a POST request to http://89.116.159.229:8084/compare_palmprint.

• Test with a base64-encoded image: Send a POST request to http://89.116.159.229:8084/compare_palmprint_base64.