An Image Processing Oriented Optical Mark Recognition and Evaluation System

Year 2018, Volume: 6 Issue: 4, 59 - 64, 31.12.2018

Zeki Küçükkara , Abdullah Erdal Tümer

Abstract

Standart bir kağıt üzerine basılmış optik formların,
sıradan bir tarayıcı ile taratılması sonucunda elde edilen görüntüler üzerindeki
çoktan seçmeli test işaretlemelerinin tanınması ve değerlendirilmesi için bir yöntem. Bu yöntem optik işaret
tanıma/okuma olarak adlandırılır ve işaretlenmiş çoktan seçmeli formlardaki verilerin
yakalanması işlemidir. Optik işaret tanıma/okuma uygulaması Python yazılım dili
ve OpenCV görüntü işleme kütüphanesi kullanılarak geliştirilmiştir. Uygulama içerisine
cevap anahtarının girilmesi ile yanlış işaretlenen daire kırmızı, doğru
cevaplanan daire yeşil olarak işaretlenmiş, doğru/yanlış/boş bilgiler
hesaplanarak optik form görüntüsü üzerine yazdırılmıştır. 

Keywords

Image Processing, Multiple Choice Test, OpenCV, Optical Mark Recognition, Python, QR Code

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