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)
|
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. |
|
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 |
No. Panggil | No. Barkod | Ketersediaan |
---|---|---|
500 TIJST 22:1 (2017) | TERSEDIA |
Ulasan: |
Tidak ada ulasan pada koleksi ini: 20451855 |