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1 2020

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Extraction of scores and average from Algerian high-school degree transcripts

Kefali Abderrahmane, Drabsia Soumia, Sari Toufik, Chaoui Mohammed, Ferkous Chokri

Computer Science

2020

T. 21 (1)

59--96

A system for extracting scores and the average from Algerian high school degree transcripts is proposed. The system extracts the scores and average based on the localization of tables gathering this information; it consists of several stages. After preprocessing, the system locates the tables using ruling-line information as well as other text information. Therefore, the adopted localization approach can work even in the absence of certain ruling lines or the erasure and discontinuity of the lines. After this, the localized tables are segmented into columns and the columns into information cells. Finally, cell labeling is done based on prior knowledge of the table structure, allowing us to identify the scores and the average. Experiments have been conducted on a local dataset in order to evaluate the performances of our system and compare it to three public systems at three levels; the obtained results show the effectiveness of our system.