圖像化二維條碼結合於印章應用之研究

Abstract

印章是中華文化裡最有特色和代表性的小物件，隨著科技的逐漸進步，印章 的作用卻一直停留在只有單一的證明作用上。在一些重要文件中，我們發現除了 有蓋官印之外，也有在文件中出現二維條碼 QR code (Quick Response Code) 來傳 遞更多的訊息，這使頁面看起來比較雜亂。為了賦予印章新的作用與發展方向， 我們通過執行程式把不同不透明度的印章圖片與植入不同資訊強度的 QR code 結 合，再對印章結合 QR code 之數位檔案進行列印、讀取以及錯誤分析，確認結合 後檔案之讀取率。為了得知印章圖像亮度度對其解碼率的影響，我們分別將印章 圖像設為不透明度 90 及不透明度 100(即原始圖像)兩種方案分別結合於 QR code，通過研究發現，不透明度 100 的印章圖片比不透明度 90 的印章圖片結合後 檔案的錯誤率更高，同時通過 QR code 資訊強度的增強，能夠將 codeword 錯誤率 降低到 20%以下，最後通過觀察錯誤點位置我們發現辨識錯誤之 module 多分布於 印章結合 QR code 的深色部位，故我們通過對白色資訊點的加強使得錯誤點得到 明顯的減少，以此來更好的提高其解碼能力，驗證了此研究之可行性。本研究既 找出了圖像亮度對圖像化 QR code 影響關係之外，也在未來的運用中解決了文件 頁面空間雜亂的問題，使科技結合於印章，賦予了印章以新的發展方向。The stamp is the most distinctive and complementary object in Chinese culture. With the gradual progress of technology, the role of the stamp has always remained at a single proof function. In some important documents, we found that in addition to the official stamp, QR code (Quick Response Code) also appeared in the document to convey more information, which made the page look messy. In order to give the stamp a new role and development direction, we expect to combine the stamp and QR code. In this research, the stamp pictures of different opacity were combined with QR codes with different information strengths by executing the program, and then the digital files of the stamp combined with QR code were printed, read, and error analyzed to confirm the read rate of the combined files. In order to know the influence of the different shades of the stamp image color on its decoding rate, we set the stamp image to an opacity of 90 and an opacity of 100 (original image) respectively and combined with the QR code. Through research, it is found that the file error rate of the stamp image with opacity 100 is higher than that of the stamp image with opacity 90. At the same time, through the enhancement of QR code information strength, the codeword error rate can be reduced to less than 20%. Finally, by observing the position of the error dot, we found that the modules of the identification error are mostly distributed in the dark part of the stamp combined with the QR code. Therefore, we strengthened the white information dots to significantly reduce the error dots, so as to better improve its decoding ability. Verified the feasibility of this research. In the future application, it not only solves the problem of messy document page space, but also integrates technology into the stamp, giving the stamp a new development direction.