用于监视系统的先进高速光学模式识别

E. Priya, N. N. Pragash
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引用次数: 1

摘要

今天,安全是机场、火车站、汽车站等所有公共场所需要的首要因素。在过去的十年里,由于缺乏极快的安全系统,对人类生命和公共财产造成了许多损害。该设计能够快速捕获、识别和检测未经授权的人员。本研究工作的目的是设计一个高速识别模式的系统。4f系统是一种具有统一增强因子的图像聚焦系统,可以用光线追踪来证明。在MATLAB中对4f系统进行了仿真。此外,它可以扩展到先进的极快模式识别监视系统。在相机捕获的图像和数据库图像的共轭之间进行光学傅里叶变换,该图像在傅里叶平面上相乘并投影。这提供了一个模式识别图像在输出平面上以极快的速度。
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Advanced high speed optical pattern recognition for sur-veillance systems
Today security is the prime factor needed in all civic places such as Airport, Railway station and Bus stations. Due to absence of extremely fast security systems, lots of damage to human life and public properties were seen in last decade. The proposed design able to capture, recognize and detect the unauthorized person at high speed. The aim of this research work is to design a system that recognizes the pattern at high speed. The 4f system is an image focusing system with intensification factor of unity which can be demonstrated using ray tracing. The 4f system is simulated in MATLAB. Further it can be extended to advanced extremely fast pattern recognition surveillance systems. The optical Fourier transform is performed between the cameras captured image and the conjugate of the database image which is multiplied and projected on the Fourier plane. This provides a pattern recognized image at the output plane at extremely fast rate.
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