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Iris recognition Industry Research Report 2020 From China Institute of electronic technology standardization is a website that focuses on future technologies, markets and user trends. We are responsible for collecting the latest research data, authority data, industry research and analysis reports. We are committed to becoming a data and report sharing platform for professionals and decision makers. We look forward to working with you to record the development trends of today’s economy, technology, industrial chain and business model.Welcome to follow, comment and bookmark us, and hope to share the future with you, and look forward to your success with our help.

The following is the Iris recognition Industry Research Report 2020 From China Institute of electronic technology standardization recommended by And this article belongs to the classification: professional knowledge, research report.

With the development of information technology, the difficulty and importance of identity recognition become more and more prominent. Biometrics is a convenient, fast and reliable method to identify personal identity through the inherent physiological or behavioral characteristics of human body. The common biological features include fingerprint, face, iris, voiceprint, finger vein, DNA, etc. iris recognition is an important means of personal identification, which has the characteristics of non-contact, uniqueness, stability, etc. it is suitable for large-scale, high-precision, non-contact identification requirements.

The human eye structure is composed of sclera, iris and pupil. Sclera is the white part of the periphery of the eye, and the center of the eye is the pupil. Iris is located between sclera and pupil, which contains the most abundant texture information. In appearance, the iris is composed of many glandular pits, folds, pigment spots, etc., which is one of the most unique structures in the human body. In 1993, Daugman of Cambridge University implemented a high-performance automatic iris recognition system, and proposed a classical circulation integral segmentation algorithm to detect the inner and outer contour of the iris.

A complete iris recognition system should include the following parts: human eye image acquisition, iris image detection, iris feature extraction and feature pattern matching.

Iris recognition has five advantages: uniqueness, stability, anti-counterfeiting, biological activity and non-contact. Compared with the current popular fingerprint recognition and face recognition, iris recognition has absolute advantages in accuracy, stability, replicability, live detection and other comprehensive security performance.

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