Pretražite po imenu i prezimenu autora, mentora, urednika, prevoditelja

Napredna pretraga

Pregled bibliografske jedinice broj: 703949

Automatic recognition of handwritten corrections for multiple-choice exam answer sheets


Čupić, Marko; Brkić, Karla; Hrkać, Tomislav; Mihajlović, Željka; Kalafatić, Zoran
Automatic recognition of handwritten corrections for multiple-choice exam answer sheets // Proceedings of the 37th International Convention on Information and Communication Technology, Electronics and Microelectronic MIPRO 2014, Intelligent Systems (CIS) / Biljanović, Petar (ur.).
Rijeka, 2014. str. 1386-1391 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)


CROSBI ID: 703949 Za ispravke kontaktirajte CROSBI podršku putem web obrasca

Naslov
Automatic recognition of handwritten corrections for multiple-choice exam answer sheets

Autori
Čupić, Marko ; Brkić, Karla ; Hrkać, Tomislav ; Mihajlović, Željka ; Kalafatić, Zoran

Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni

Izvornik
Proceedings of the 37th International Convention on Information and Communication Technology, Electronics and Microelectronic MIPRO 2014, Intelligent Systems (CIS) / Biljanović, Petar - Rijeka, 2014, 1386-1391

Skup
37th International Convention on Information and Communication Technology, Electronics and Microelectronic MIPRO 2014, Intelligent Systems (CIS)

Mjesto i datum
Opatija, Hrvatska, 26.05.2014. - 30.05.2014

Vrsta sudjelovanja
Predavanje

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
character recognition ; handwritten letters ; Weka ; random forest classifier

Sažetak
Automated grading of multiple-choice exams is of great interest in university courses with a large number of students. We consider an existing system in which exams are automatically graded using simple answer sheets that are annotated by the student. A sheet consists of a series of circles representing possible answers. As annotation errors are possible, a student is permitted to alter the annotated answer by annotating the“error” circle and handwriting the letter of the correct answer next to the appropriate row. During the scanning process, if an annotated“error” circle is detected, the system raises an alarm and requires intervention from a human operator to determine which answer to consider valid. We propose rather simple and effecive computer vision algorithm which enables automated reading of a limited set of handwritten answers and minimizes the need for a human intervention in the scanning process. We test our algorithm on a large dataset of real scanned answer sheets, and report encouraging performance rates.

Izvorni jezik
Engleski

Znanstvena područja
Računarstvo



POVEZANOST RADA


Ustanove:
Fakultet elektrotehnike i računarstva, Zagreb

Poveznice na cjeloviti tekst rada:

Pristup cjelovitom tekstu rada www.mipro.hr

Citiraj ovu publikaciju:

Čupić, Marko; Brkić, Karla; Hrkać, Tomislav; Mihajlović, Željka; Kalafatić, Zoran
Automatic recognition of handwritten corrections for multiple-choice exam answer sheets // Proceedings of the 37th International Convention on Information and Communication Technology, Electronics and Microelectronic MIPRO 2014, Intelligent Systems (CIS) / Biljanović, Petar (ur.).
Rijeka, 2014. str. 1386-1391 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
Čupić, M., Brkić, K., Hrkać, T., Mihajlović, Ž. & Kalafatić, Z. (2014) Automatic recognition of handwritten corrections for multiple-choice exam answer sheets. U: Biljanović, P. (ur.)Proceedings of the 37th International Convention on Information and Communication Technology, Electronics and Microelectronic MIPRO 2014, Intelligent Systems (CIS).
@article{article, author = {\v{C}upi\'{c}, Marko and Brki\'{c}, Karla and Hrka\'{c}, Tomislav and Mihajlovi\'{c}, \v{Z}eljka and Kalafati\'{c}, Zoran}, editor = {Biljanovi\'{c}, P.}, year = {2014}, pages = {1386-1391}, keywords = {character recognition, handwritten letters, Weka, random forest classifier}, title = {Automatic recognition of handwritten corrections for multiple-choice exam answer sheets}, keyword = {character recognition, handwritten letters, Weka, random forest classifier}, publisherplace = {Opatija, Hrvatska} }
@article{article, author = {\v{C}upi\'{c}, Marko and Brki\'{c}, Karla and Hrka\'{c}, Tomislav and Mihajlovi\'{c}, \v{Z}eljka and Kalafati\'{c}, Zoran}, editor = {Biljanovi\'{c}, P.}, year = {2014}, pages = {1386-1391}, keywords = {character recognition, handwritten letters, Weka, random forest classifier}, title = {Automatic recognition of handwritten corrections for multiple-choice exam answer sheets}, keyword = {character recognition, handwritten letters, Weka, random forest classifier}, publisherplace = {Opatija, Hrvatska} }




Contrast
Increase Font
Decrease Font
Dyslexic Font