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Handwritten student identification number segmentation on traditional grid answer sheet based on statistical analysis of structural profile / Nutchanat Sattayakawee

Nutchanat Sattayakawee; (Kasetsart University Kamphaengsaen Campus. Faculty of Engineering, 2017)

 Abstrak

As part of an attempt to improve computer-based test scoring on traditional grid answer sheets, which are used by 76.36% of interrogated schools in Thailand, this paper proposes an algorithm to segment the problematic handwritten-style student identification number. The method used is based on profile features supported by digit width-height ratio analysis. Non-touching digits are segmented by vertical histograms and the flood fill algorithm. Touching digits are segmented by considering the distances between upper and lower profiles as well as the derivatives of consecutive points of their profiles. Among 231 six-digit image sequences, the average segmentation accuracy rate was 98.20%, which is considered satisfactory. The results showed that an increased number of consecutive cursive digits decreased the segmentation accuracy, and was significant from 5 connecting digits.

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 Metadata

No. Panggil : 500 TIJST 22:1 (2017)
Entri utama-Nama orang :
Subjek :
Penerbitan : [Place of publication not identified]: Kasetsart University Kamphaengsaen Campus. Faculty of Engineering, 2017
Sumber Pengatalogan : LibUI eng rda
ISSN : 08594074
Majalah/Jurnal : Thammasat International Journal of Science and Technology
Volume : Vol. 22, No. 1, Januari-Maret 2017: Hal. : 75-86
Tipe Konten : text
Tipe Media : unmediated ; computer
Tipe Carrier : volume ; online resource
Akses Elektronik : https://www.tci-thaijo.org/index.php/tijsat/article/view/80885/67270
Institusi Pemilik : Universitas Indonesia
Lokasi : Perpustakaan UI, Lantai 4, R. Koleksi Jurnal
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No. Panggil No. Barkod Ketersediaan
500 TIJST 22:1 (2017) TERSEDIA
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