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一種適用于移動(dòng)設備在線(xiàn)閱卷的答題卡自動(dòng)識別算法
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西南科技大學(xué)計算機科學(xué)與技術(shù)學(xué)院 四川綿陽(yáng),西南科技大學(xué)計算機科學(xué)與技術(shù)學(xué)院 四川綿陽(yáng),西南科技大學(xué)計算機科學(xué)與技術(shù)學(xué)院 四川綿陽(yáng),西南科技大學(xué)計算機科學(xué)與技術(shù)學(xué)院 四川綿陽(yáng),西南科技大學(xué)計算機科學(xué)與技術(shù)學(xué)院 四川綿陽(yáng)

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TP399

基金項目:

四川省教育廳科技成果轉化重大培育項目(14zd1102);西南科技大學(xué)龍山學(xué)術(shù)人才科研支持計劃(17LZX425);西南科技大學(xué)研究生創(chuàng )新基金資助(17ycx053);


An automatic recognition algorithm for the online marking of mobile devices
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School of Computer Science and Technology,Southwest University of Science and Technology,School of Computer Science and Technology,Southwest University of Science and Technology,School of Computer Science and Technology,Southwest University of Science and Technology,School of Computer Science and Technology,Southwest University of Science and Technology,

Fund Project:

Major cultivation project of science and technology achievements of SiChuan education department (14zd1102);Southwest University of Science and Technology LongShan academic talent research support plan (17LZX425);;Supported by Postgraduate Innovation Fund Project by Southwest University of Science and Technology(17ycx053);

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    摘要:

    基于智能移動(dòng)設備的閱卷方式無(wú)需專(zhuān)用設備即可快速閱卷,降低成本的同時(shí)還能增加閱卷工作的可移動(dòng)性。為解決移動(dòng)設備拍照閱卷時(shí),出現的陰影、反光、傾斜(-45°~45°)等情況,設計并實(shí)現了一套答題卡自動(dòng)識別算法,算法主要分為三部分:圖像預處理、待識別區域定位與分割、答題卡內容識別。不同操作系統(PC、Android、IOS)下測試結果表明:該算法正常填涂采集識別率為100%,異常填涂采集識別率為93.6%;識別速度小于2s,滿(mǎn)足實(shí)時(shí)性要求;無(wú)需修改就能在不同操作系統下編譯運行,提高了程序的通用性和兼容性。目前該算法已成功應用于某教育企業(yè)上線(xiàn)APP中。

    Abstract:

    The marking method which based on intelligent mobile device can work fast without special equipment, reduce costs and increase the mobility of marking work. To solve the problem when using a mobile device for marking, such as shadows, reflections, tilted -45° to 45° and so on, this article designed and implemented a set of sheet automatic identification algorithm. The algorithm is mainly divided into three parts: image preprocessing, identify regional orientation and segmentation, sheet content recognition. Experimental results show in different operating systems (PC, Android, IOS): the recognition rate of the algorithm is 100%, and the detection rate of abnormal filling is 93.6%; the recognition speed is less than 2s, satisfying the real-time requirement; it can be compiled and run under different operating systems without modification, thus improving the universality and compatibility of the program.At present, this algorithm has been successfully applied to a education enterprise on-line APP.

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孫琳,張琪,羅念祖,鄧書(shū)勤,陳念年.一種適用于移動(dòng)設備在線(xiàn)閱卷的答題卡自動(dòng)識別算法計算機測量與控制[J].,2018,26(10):255-259.

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歷史
  • 收稿日期:2018-04-03
  • 最后修改日期:2018-04-24
  • 錄用日期:2018-04-24
  • 在線(xiàn)發(fā)布日期: 2018-10-16
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