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  • 學位論文

使用智慧型手機拍照、影像辨識與計算

Use your smartphone to take pictures,image recognition and calculations

指導教授 : 詹明哲

摘要


近年來智慧型手機應用軟體發展越來越迅速、種類也相當多樣化,已經融入每個人生活與休閒的主要工具之一。 本研究主要是開發App影像辨識軟體來測試答案試卷的辨識率,其實驗條件必須完成100張2B答案試卷的辨識,以辨識成功率達成100%為目標,測試過程需考如何克服所遇到的問題,如: 答案卡傾斜、書寫過於潦草、未按規定格式書寫、線段化的演算有缺點、細線化處理與預期結果不相符、雜訊干擾等。這些問題均屬於辨識前所造成非一致性的異常,若要藉影像辨識軟體來改善是只會有一定的效果,並無法完全克服。所以此研究會在影像辨識中新增自動補正功能,降低問題差距與自動判別錯誤性來提升影像辨識率,但會出現判斷時間延遲現象,造成整個辨識過程時間增加,甚至中斷現象,為了避免最終產出錯誤結果,這影響因素是可接受的。這系統其主要特色有:(1).可接受非A4格式影印紙,非傳統答案卡形式(2).可接受非2B鉛筆所塗之顏色,顏色對比分明就可辨識(3).可自動辨識上下左右拍攝角度的變化。

關鍵字

App 影像辨識 智慧型手機

並列摘要


In recent years, smart phone application software has developed more and more rapidly, the species is also quite diverse, has been integrated into one of the main tools of life and leisure. This case is mainly to develop the App image recognition software to test the answer film identification rate, the experimental conditions must be completed 100 test answers to identify the success rate of 100% to achieve the goal, the test process to test how to overcome the encountered Questions, such as: the answer card tilt, writing too scrawled, not written in accordance with the provisions of the format, line segmentation of the calculation of shortcomings, thin line processing and the expected results do not match, noise interference. These problems belong to the non-consistency caused by the identification of abnormal, to take the image recognition software to improve is only a certain effect, and can not be completely overcome. Therefore, this study will set the Auto off-set in the image recognition, reduce the problem gap and automatically determine the error to improve the image recognition rate, but there will be time to delay the phenomenon, resulting in the entire identification process time, or even interrupt the phenomenon, in order to avoid the final The output of the wrong result, this factor is acceptable. The main features of the system are: (1). Acceptable non-A4 format photocopy paper, non-traditional answer card form (2). Acceptable non-2B pencil painted color, color contrast can be identified (3). Identify changes in the angle of shooting up and down.

並列關鍵字

App image recognition smartphone

參考文獻


1.林瑞明,手寫紙本是非及選擇題答案辨識系統之實作,國立台中師範學院教育測驗統計研究所論文,民國91年
2.曾建豪,智慧型手機車牌辨識系統,國立中央大學資訊工程研究所碩士論文,民國101年。
3.http://tjspsgclass.blogspot.tw/2015/07/blog-post.html
4.林俊傑,林群倫,應用OpenCV完成影像辨識功能,安全管理與工程技術國際研討會,民國102年。
5.http://www.opencv.org.cn,OpenCV入門教程。

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