US-Bangladesh/Kuwait Cooperative Research: Real Time Pattern Recognition

0002107alam描述：本奖项旨在支持阿拉巴马州塔斯卡卢萨阿拉巴马大学电气与计算机工程系Mohammad Alam博士、科威特科威特大学电气工程系a . K. Cherri博士和孟加拉国达卡孟加拉国工程技术大学电气工程系M.N. Islam博士共同开展的一个合作项目。这些科学家计划开发一种高效的基于联合变换相关器（JTC）的模式识别系统，用于指纹识别、自适应人脸识别和作物杂草分类等实时应用。JTC本质上适合于实时匹配和跟踪操作，因为不需要复杂的滤波器。在提出的各种JTC技术中，手指调节JTC在傅里叶平面上采用非线性手指调节滤波器，可以产生最佳的目标（模式）识别相关输出。然而，如果输入场景包含类似目标的杂波，目标旋转并且相对于参考具有比例变化，并且受到其他类型的3D扭曲的影响，那么问题就变得更具挑战性。在这个项目中，pi计划了一种新的广义非线性JTC，用于单个和多个目标的畸变不变检测和识别。自适应学习将被纳入JTC中使用的参考图像的更新。项目范围：本项目任务将由三国科学家根据各自的专业知识和各自的技术资源和仪器设备来完成。来自两国的研究生有望参与这一国际合作。Drs。阿拉姆、切里和伊斯拉姆此前曾在光学和电子学及其应用研究方面进行过互动。计划中的研究将以这种联系为基础，并可能帮助这三个国家解决银行、海关和移民方面的人员识别问题以及农业遥感应用方面的目标识别问题。该提案符合INT鼓励美国和外国科学家在潜在互惠领域进行合作的目标。

0002107AlamDescription: This award is for support of a cooperative project by Dr. Mohammad Alam, Department of Electrical and Computer Engineering, University of Alabama, Tuscaloosa, Alabama, Dr. A. K. Cherri, Electrical Engineering Department, Kuwait University, Kuwait and Dr. M.N. Islam, Electrical Engineering Department, Bangladesh University of Engineering and Technology, Dhaka, Bangladesh. These scientists plan to develop a highly efficient joint transform correlator (JTC) based pattern recognition system for real time applications such as finger print identification, adaptive face recognition and classification of weeds from crops. A JTC is inherently suitable for real-time matching and tracking operations since no complex filter is needed. Among the various JTC techniques proposed, the finger-adjusted JTC, which employs a nonlinear finger-adjusted filter at the Fourier plane, has been found to yield the best correlation output for target (pattern) recognition. However, the problem becomes more challenging if the input scene contains target-like clutter, targets that are rotated and have scale variations with respect to the reference, and are affected by other type of 3D distortions. In this project the PIs plan a novel generalized nonlinear JTC, for distortion invariant detection and identification both single as well as multiple targets. Adaptive learning will be incorporated to update the reference image used in the proposed JTC. Scope: The tasks in this project will be carried out by the scientists in the three countries according to their special expertise and the technical resources and instrumentation available to each. Graduate students from the two foreign countries are expected to participate in this international collaboration. Drs. Alam, Cherri and Islam had previously interacted in dealing with research on optics and on electronics and their applications. The planned research will build upon this linkage and is likely to help the three countries in solving certain problems of personnel identification in banking, customs and immigration and in object identification in remote sensing applications in agriculture. This proposal meets the INT objective of encouraging collaboration by US and foreign scientists in areas of potential mutual benefit.