Abstract
One way of consideration for identifying the human IS recognition of face by portable tools like mobile and tablet. One challenge is low power in portable android tools for face recognition (identification), so GPU must be used in software connection central Graphic processor which has a good function, compared to present processors in today portable android tools. Binary pattern (local) is one of the methods that are used for characteristic production and the image stratification. In this study, it is suggested to use connection and local binary pattern histogram algorithm to use optimum software open CV and using hardware platform android to identify the face.
Highlights
Todays, recognition from face has a lot of utilities in commerce and security
Face recognition has a lot of advantages in misdemeanant identification, security systems and other Issues, and so it is taken into account during the recent years
Our application of recognition system of individual identification recognition background is by using the portable android tools which are similar to mobile
Summary
Recognition from face has a lot of utilities in commerce and security. The most information is gained from the face identification. One of the technics for examining to identify the human being is to recognition of faces by portable equipment's. Increasing of portable tools like computer and mobile causes more consideration to automatic processing on the images including biometric identification, recognition, human interaction and computer and multimedia management. For this reason, searches and developments have been conducting to recognize the faces. One of the examining technics for human identification is face recognition with portable devices. Identification recognition from face image has developed during the recent years and is accompanied by the other devices like phone, mobile and tablet which have intelligent operator system. International Journal of Wireless Communications and Mobile Computing 2016; 4(2): 25-31
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