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Face recognition alert mechanism and idealness for monitoring user motion by Web services

机译:人脸识别警报机制和理想的Web服务监视用户动作

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摘要

The Web services use community to grow with different functionality and location. Today web service can provide satisfactory solution for each and every application. Web services are communicating with face identifier and detect the problem occur in the location. Face recognition is the process of identifying human face based on circumstance. This work implements with a system that is configured to identify faces especially the image caught in ATM camera with certain environmental constraints. The proposed work enhances this approach using web logic and web services. The mechanism works on the proposed system for all the constraints specified for identifying images and provides feasible solution through broad area spectrum for identifying images and to store images in all other web services. The transitional algorithm uses Eigen values along with Adaboost, Daugman's Method and Global Gabor Phase Pattern which is in turn applied for face recognition in web services. The results are proven to be effective and feasible by which an image identified and the result is well shared among all other web services.
机译:Web服务使用社区来发展具有不同的功能和位置。如今,Web服务可以为每个应用程序提供令人满意的解决方案。 Web服务正在与人脸标识符进行通信,并检测出该位置中发生的问题。人脸识别是根据情况识别人脸的过程。这项工作是通过配置为识别面部,尤其是在某些环境限制下识别ATM相机中捕获的图像的系统来实现的。拟议的工作使用Web逻辑和Web服务增强了这种方法。该机制在提议的系统上针对指定的所有用于标识图像的约束进行工作,并通过广域频谱提供了可行的解决方案,用于标识图像并将图像存储在所有其他Web服务中。过渡算法将特征值与​​Adaboost,Daugman方法和Global Gabor相位模式一起使用,然后将其应用于Web服务中的人脸识别。结果被证明是有效和可行的,通过该结果可以识别图像并在所有其他Web服务之间很好地共享结果。

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