“Global Iris Recognition Market”Purchase This Report by calling ResearchnReports.com at +1-888-631-6977.
Iris recognition is an automated method of biometric identification that uses mathematical pattern-recognition techniques on video images of one or both of the irises of an individual’s eyes, whose complex patterns are unique, stable, and can be seen from some distance.
The iris recognition market is expected to grow at a rapid pace in most of the regions in the world due to growing concerns of every country towards the safety and security of citizens and the focus of players for incorporating the technology in various application areas such as government, military & defense, healthcare, banking & finance, consumer electronics, travel & immigration, and so on. A huge demand from various government organizations and travel and immigration departments is a major factor which is driving the market growth. The market is further driven by the implementation of e-passport programs, national ID proofs, and so on. It provides one of the most secured methods of authentication and identification because of the unique characteristics of an iris. In 2017, the Americas accounted for the largest share of the iris recognition market, followed by Europe and APAC.
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The integration of cloud computing technology to ensure high-level security is creating opportunities for this market. The report reviews the latest market trends with insights regarding future growth prospects. An in-depth analysis on a geographic basis provides strategic business intelligence for investments in the market. The study reveals profitable investment strategies for product manufacturers, electronics companies, business executives, product marketing managers, new business investors, and others.
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Retinal scanning is a different, ocular-based biometric technology that uses the unique patterns on a person’s retina blood vessels and is often confused with iris recognition. Iris recognition uses video camera technology with subtle near infrared illumination to acquire images of the detail-rich, intricate structures of the iris which are visible externally. Digital templates encoded from these patterns by mathematical and statistical algorithms allow the identification of an individual or someone pretending to be that individual. Databases of enrolled templates are searched by matcher engines at speeds measured in the millions of templates per second per (single-core) CPU, and with remarkably low false match rates.
Several hundred million persons in several countries around the world have been enrolled in iris recognition systems for convenience purposes such as passport-free automated border-crossings and some national ID programs. A key advantage of iris recognition, besides its speed of matching and its extreme resistance to false matches, is the stability of the iris as an internal and protected, yet externally visible organ of the eye.
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