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Soft Computing
Erschienen in: Soft Computing 3/2011

01.03.2011 | Focus

Method of verifying declared identity in optical answer sheets

verfasst von: Joseph A. Levi, Yosef A. Solewicz, Yael Dvir, Yisca Steinberg

Erschienen in: Soft Computing | Ausgabe 3/2011

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Abstract

In the use of optical answer sheet examinations, occasionally the identity of the examinee is in question. A novel method for characterizing the personal quality of mark shapes in optically read answer sheets is described. The method may be used to identify imposters in multiple choice examinations. All the marks are segmented and measured in multiple parameters including area, dimensions, perimeter and optical density. Imposter decisions are made on the collected data by comparing an identified test form against the form in question in comparison with a population using SVM (support vector machine) modeling. In testing the method, 300 test forms from 100 examinees from past tests were used. An EER (equal error rate) of 15–17% was found. While performance of the presented method is currently insufficient for practical purposes, future research options have been mentioned.
Vorheriger Artikel Correlation-based classification of heartbeats for individual identification
Nächster Artikel Automatic video temporal segmentation based on multiple features

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Metadaten
Titel
Method of verifying declared identity in optical answer sheets
verfasst von
Joseph A. Levi
Yosef A. Solewicz
Yael Dvir
Yisca Steinberg
Publikationsdatum
01.03.2011
Verlag
Springer-Verlag
Erschienen in
Soft Computing / Ausgabe 3/2011
Print ISSN: 1432-7643
Elektronische ISSN: 1433-7479
DOI
https://doi.org/10.1007/s00500-009-0526-x

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