What is the principle of iris recognition technology? How is iris recognition principle and algorithm implemented? Iris recognition technology is a relatively advanced biometric identification technology. It is very different from face recognition. Iris recognition is the process of extracting the image features of human eye iris for matching and identification. It is used in areas such as secure payment, security control of access control, and banking finance. Has been practical application, users only need to blink to be able to identify and unlock, very convenient and efficient.
Iris recognition technology based on core content science
The iris recognition technology is based on the identification of the iris in the eye, applied to security equipment (such as access control, etc.), and places with high security requirements.
Human eye structure consists of sclera, iris, pupil lens, retina and other parts. The iris is an annular portion between the black pupil and the white sclera, which contains many detailed features of staggered spots, filaments, coronality, stripes, crypts, and the like. Moreover, after the formation of the fetus, the iris will remain unchanged throughout the life course. These characteristics determine the uniqueness of the iris feature and also determine the uniqueness of the identification. Therefore, the iris feature of the eye can be used as an identification object for each person.
Iris Recognition Principle and Algorithm AnalysisThe process of iris recognition technology is generally divided into four steps: iris image acquisition, image preprocessing, feature extraction, and feature matching.
Iris image acquisition refers to shooting a person's entire eye using a specific digital camera device, and transferring the captured image to a computer via an image capture card.
The acquisition of iris images is the first step in iris recognition. The area of ​​the iris is small, and irises of different races have very different colors. These make it impossible for ordinary cameras to take clear iris images that can be used for recognition.
Therefore, special iris image acquisition devices must be used, including infrared optical imaging systems, electronic control units, and appropriate software algorithms (such as image restoration and enhancement, focusing judgment, etc.).
Feature extraction and matching is the core part of the iris recognition system. It uses effective features to describe the iris image and characterize the similarities between the feature vectors. Finally, the system compares the collected information with the information in the database, and determines the user's identity and authority.
Image preprocessing refers to the fact that the captured eye image includes a lot of redundant information and cannot satisfy the requirements in terms of definition and the like, and it needs to perform preprocessing operations such as image smoothing, edge detection, and image separation.
Feature extraction refers to extracting unique feature points from the isolated iris image by a certain algorithm and encoding it.
Finally, feature matching refers to matching and verification of feature codes and pre-stored iris image feature codes in the database to achieve the purpose of identification.
The above is the brief introduction of the principle and algorithm of iris recognition technology published by Smart Lock China Network Xiaobian. For more biometric identification technology principles, please refer to our website!
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