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Projection-based text line segmentation with a variable threshold

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Języki publikacji
EN
Abstrakty
EN
Document image segmentation into text lines is one of the stages in unconstrained handwritten document recognition. This paper presents a new algorithm for text line separation in handwriting. The developed algorithm is based on a method using the projection profile. It employs thresholding, but the threshold value is variable. This permits determination of low or overlapping peaks of the graph. The proposed technique is shown to improve the recognition rate relative to traditional methods. The algorithm is robust in text line detection with respect to different text line lengths.
Rocznik
Strony
195--206
Opis fizyczny
Bibliogr. 46 poz., rys., tab., wykr.
Twórcy
autor
  • Department of Computer Engineering, Wrocław University of Science and Technology, Wyb. Wyspiańskiego 27, 50-370 Wrocław, Poland
autor
  • Department of Computer Engineering, Wrocław University of Science and Technology, Wyb. Wyspiańskiego 27, 50-370 Wrocław, Poland
autor
  • Department of Computer Engineering, Wrocław University of Science and Technology, Wyb. Wyspiańskiego 27, 50-370 Wrocław, Poland
Bibliografia
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  • [6] Brodić, D. (2012). Extended approach to water flow algorithm for text line segmentation, Journal of Computer Science and Technology 27(1): 187–194.
  • [7] Brodić, D. (2015). Text line segmentation with water flow algorithm based on power function, Journal of Electrical Engineering 66(3): 132–141.
  • [8] Brodić, D. and Milivojević, Z. (2011). A new approach to water flow algorithm for text line segmentation, Journal of Universal Computer Science 17(1): 30–47.
  • [9] Cierniak, R. (2014). An analytical iterative statistical algorithm for image reconstruction from projections, International Journal of Applied Mathematics and Computer Science 24(1): 7–17, DOI: 10.2478/amcs-2014-0001.
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  • [38] Razak, Z., Zulkiflee, K., Idris, M.Y.I., Tamil, E.M., Noor, M.N.M., Salleh, R., Yaakob, M., Yusof, Z.M. and Yaacob, M. (2008). Off-line handwriting text line segmentation: A review, International Journal of Computer Science and Network Security 8(7): 12–20.
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  • [40] Sarkar, R., Malakar, S., Das, N., Basu, S., Kundu, M. and Nasipuri, M. (2011). Word extraction and character segmentation from text lines of unconstrained handwritten Bangla document images, Journal of Intelligent Systems 20(3): 227–260.
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  • [46] Zahour, A., Taconet, B., Mercy, P. and Ramdane, S. (2001). Arabic hand-written text-line extraction, 6th International Conference on Document Analysis and Recognition, Seattle, WA, USA, pp. 281–285.
Uwagi
PL
Opracowanie ze środków MNiSW w ramach umowy 812/P-DUN/2016 na działalność upowszechniającą naukę (zadania 2017).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-355fad98-da93-4b3b-a79a-b15b3a959236
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