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1
A projection-based criterion for polish typewritten/handwritten word identification using a new approach in segmentation
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Saeed K. , Predko A. , Rybnik M.
Computing, Multimedia and Intelligent Techniques
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2006
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tom Vol. 2, nr 1
25-34
EN
This paper presents experiments on Polish scripts recognition by a method based on projection method fused with Toeplitz matrix approach. A new approach in segmentation of letters is presented. The essential part of this work is based on modification of known segmentation methods. The observations have allowed us to create a new criterion for word segmentation. Projection approach (which has been earlier used to identify Arabic and Latin signs and gives good results) is used to identify Polish letters. Toeplitz approach is also applied to allow preparing data for further processing and analysis. Samples of typewritten and handwritten words were segmented and identified in order to validate the approach. The obtained results are satisfying and encourage further periments.
2
Content available remote K3M: A universal algorithm for image skeletonization and a review of thinning techniques
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Saeed K. , Tabędzki M. , Rybnik M. , Adamski M.
International Journal of Applied Mathematics and Computer Science
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2010
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tom Vol. 20, no 2
317-335
EN
This paper aims at three aspects closely related to each other: first, it presents the state of the art in the area of thinning methodologies, by giving descriptions of general ideas of the most significant algorithms with a comparison between them. Secondly, it proposes a new thinning algorithm that presents interesting properties in terms of processing quality and algorithm clarity, enriched with examples. Thirdly, the work considers parallelization issues for intrinsically sequential algorithms of thinning. The main advantage of the suggested algorithm is its universality, which makes it useful and versatile for a variety of applications.
3
Content available Algorytm ścieniania obrazów : implementacja i zastosowania
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Saeed K. , Rybnik M. , Tabędzki M. , Adamski M.
Zeszyty Naukowe Politechniki Białostockiej. Informatyka
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2002
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tom Z.1
209-217
PL
Praca ta prezentuje niektóre zastosowania algorytmu z wcześniejszego artykułu [2]. Zastosowany algorytm do pisma ręcznego jest aplikowany tutaj na obrazach, takich jak fotografie, obrazy o charakterze medycznym i podpisy. Ścienianie jest ważne w wielu zastosowaniach z dziedziny rozpoznawania wzorców, np. kompresja, transmisja lub przechowywanie danych. Otrzymano interesujące wyniki, które są prezentowane w tym artykule. Porównując uzyskane rezultaty z rezultatami innych algorytmów uznano, że są one porównywalne z najnowszymi podejściami w dziedzinie ścieniania liter, słów i zdań pisma ręcznego. Jednak, w przypadku rysunków, podpisów i innych bardziej skomplikowanych obrazów, nasz algorytm daje lepsze rezultaty.
EN
The article presents a new algorithm with its computer implementation and applications in texts, pictures and medical organs description. This is very important for a number of applications in pattern recognition, like, for example, data compression, transmission or saving. Some interesting results have been obtained and presented in this paper. Comparing with results of other methods, we can conclude that if it comes to thinning of scripts, words or sentences our method is as good as some of the latest known-to-us approaches. However, when it comes to pictures, signatures or other more complicated images, the given in this work examples may prove better and more precise results than a number of other known methods.
4
Content available remote A criterion for image thinning : implementation and applications
100%
Saeed K. , Rybnik M. , Tabędzki M.
Image Processing & Communications
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2001
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tom Vol. 7, no 3-4
77-83
EN
The paper presents computer implementation and some applications to the algorithm given in a previous work [1,2]. The algorithm given there and implemented for script and text is applied here on images like pictures, medical organs and signatures. This is very important for a lot of applications in pattern recognition, like, for example, data compression, transmission or saving. Some interesting results have been obtained and presented in this article. Comparing our results with others we can conclude that if it comes to thinning of scripts, words or sentences our method is as good as some of the latest approaches, when considering cursive script. However, when it comes to pictures, signatures or other more complicated images, our algorithm showed better and more precise results than a number of other known methods
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