最後經由反覆實驗的結果顯示，我們所拍攝的QR Code樣本具有相當清晰的影像，並且經由實驗結果數據可以得知，QR Code所包含的資料量與可解碼的圖片大小呈現正比關係。而且現在對於40個英數字以內的資料量，皆可以在兩公分平方的圖片大小被正確解碼。 The thesis proposes a learning platform with QR Code. Sentences and words in the books with corresponding QR code printed. Reading and decoding pictures of QR Code by a capture device and then transmits voice according to the voice database.
We adopt a CMOS Image Sensor as an image capture interface. The CMOS Image Sensor delivers applicable images by setting internal registers of a CMOS Image Sensor. Then resolution of an image affects the picture readability, therefore the larger the resolution is, the clear it is. We must consider the demand of the buffer memory for resolution''s size in order to implement the system by hardware circuits, therefore adopts the 176x144 QCIF. Not only the resolution satisfies the system’s require, but also the memory is controlled under 512K bits. Thesis adopts Altera CPLD chip as the control center. The capture images are stored in the memory buffer and then transmitted images to a PC to decode by a UART interface.
Finally, the experiment result shows that the data capacity of QR Code and the picture size decoded are the direct ratio relations. And the data capacity within 40 letters can correctly be decoded in two centimeters square pictures sizes.
