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Frost & Sullivan Commends NEC for Taking Facial Recognition Biometrics to the Mainstream Market
Date:1/14/2014

ale, high-volume identification matching. NEC's facial recognition technology was ranked number one in the Biometric Grand Challenge's (MBGC) "Still Face Challenge," carried out by NIST and commissioned by the U.S. Department of Homeland Security in 2009.

Apart from providing a high degree of irrefutability, authentication also needs to be flexible, cost-effective and convenient. As facial recognition biometrics can be offered on almost all of the mobile devices in the market today, it saves companies the cost of supplying specialty devices such as OTP tokens. Not only does it do away with multiple steps for authentications, facial recognition is easy for administrators to implement and has high adoption rates among the users.

"Overall, with a pragmatic product roadmap, Frost & Sullivan expects NEC to make facial recognition biometrics a market reality in mainstream commercial applications for authentication and in government applications for identification," noted Dickson.

Each year, Frost & Sullivan presents this award to the company that has demonstrated excellence in implementing strategies that proactively create value for its customers with a focus on improving the return on the investment that customers make in its services or products. The Customer Value Leadership Award recognizes the company's inordinate focus on enhancing the value that its customers receive, beyond simply good customer service, leading to improved customer retention and, ultimately, customer base expansion.

Frost & Sullivan Best Practices Awards recognize companies in a variety of regional and global markets for demonstrating outstanding achievement and superior performance in areas such as leadership, technological innovation, customer service, and strategic product development. Industry analysts compare market participants and measure performance through in-depth interviews, analysis, and extensive secondary research in order to identify best pra
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