- 學位論文
以Corner Cube Retro-reflector (CCR) 陣列建構之光學身分識別系統－系統架設及影像處理與識別
Optical Identification System Based on a Corner Cube Retro-reflector Array－System Setup and Image Recognition
摘要
利用光學特性來傳遞資訊可以擁有時間上及空間上的編碼，相較於利用磁場做為識別系統，光學特性的身分辨識系統(Optical ID)擁有較高的隱密性以及安全性。本論文主要探討設計架設光學系統，利用此光學系統以擷取來自回射器的回射影像，並且利用美商國家儀器所開發的程式LabVIEW做影像處理以及影像辨識。 在光學系統部分，將訊號顯示於位在回射器正前方液晶顯示器上，利用回射器將來自LED光源的回射影像訊號經由衰減片及透鏡聚焦後成像於CCD上，之後再利用LabVIEW的Visual Assistant模組做影像處理以及影像辨識。 在影像處理上利用LabVIEW 中的Visual Assistant模組，其中使用傅立葉變換(Fourier transform)以及快速傅立葉轉換濾波(Fast Fourier Transform Filter)的概念做影像處理，再將處理所得的影像字元利用光學字元辨識程式來識別。
並列摘要
Comparing to the magnetic field as a recognition system, the optical identification system could encode the information in time and space. Therefore, the optical identification system has the properties of higher privacy and security. This thesis focused on the design of optical identification system by which retrieving the reflected image from Corner Cube Array. And then using the program LabVIEW developed by National Instruments to do image processing and image recognition. In optical identification system, the signal would show on the LCD monitor which is in front of the Corner Cube Array. By the Corner Cube Array, the LED light source could be reflected with the information in it, which is created by the LCD monitor. The reflected LED light source would go through the attenuator and convex and then be focused on CCD. Finally, we have done the image processing and image recognition by the LabVIEW Visual Assistant module. The concept of image processing in the optical identify system is by Fourier Transform and Fast Fourier Transform Filtering. And then recognize the processed image by optical character recognition (OCR).