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

0002107阿拉姆描述：该奖项是为了支持亚拉巴马塔斯卡卢萨市亚拉巴马大学电气与计算机工程系的穆罕默德·阿拉姆博士和阿拉巴马大学电气与计算机工程系的A. K. Cherri，科威特大学电气工程系，科威特和M.N.伊斯兰教，孟加拉国工程技术大学电气工程系，孟加拉国达卡。这些科学家计划开发一种基于联合变换相关器（JTC）的高效模式识别系统，用于真实的实时应用，如指纹识别，自适应人脸识别和作物杂草分类。 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，手指调整的JTC，它采用了非线性手指调整滤波器在傅立叶平面，已被发现产生最好的相关输出的目标（模式）识别。 然而，如果输入场景包含类似目标的杂波，目标旋转并相对于参考具有尺度变化，并且受到其他类型的3D失真的影响，则问题变得更具挑战性。 在这个项目中，PI计划一种新的广义非线性JTC，失真不变的检测和识别单以及多个目标。 自适应学习将被纳入更新的参考图像中使用的建议联合训练中心。适用范围：这一项目的任务将由这三个国家的科学家根据各自的专门知识和技术资源及可利用的仪器来执行。 预计来自两个外国的研究生将参与这项国际合作。 Alam博士、Cherri博士和Islam博士以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，并有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中的物体识别问题。 该提案符合INT的目标，即鼓励美国和外国科学家在潜在的互利领域开展合作。

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.