Quality Control of Meat Supply Chain Based on Iris Recognition

"Food quality and food safety" is a broader term, which means an assurance that food will not cause harm to the consumer when it is eaten and its quality is in lime with its price and promotion information. Due to recent food crises in the world, food quality and food safety have become a hot topic in mass media. Existing quality control systems, applying both sample testing and preventive methods, can detect the food contaminated by known microbiological virus effectively. As virus mutated, the deficiency of existing system is showing. New type food safety incidents break up, and more effectively quality control system are required. This paper proposes an improved quality control system of meat supply chain by integrating iris recognition technology, for iris recognition not only can check whether these piantic livestock come from appointed farm, but also can help to species conservation and high-end meat product identification. This paper takes cattle as an experimental object, and generates iris encoding by using suitable algorithms.