Browsing by Author "Can, Ethem Fatih"

Now showing 1 - 2 of 2

Open Access
Atatürk'ün el yazmalarının işlenmesi
(IEEE, 2010-04) Soysal, Talha; Adıgüzel Hande; Öktem, Alp; Haman, Alican; Can, Ethem Fatih; Duygulu, Pınar; Kalpaklı, Mehmet
Bu çalımada Atatürk'ün el yazmalarının etkin ve kolay eriimini salayabilecek kelime tabanlı bir arama sisteminin ilk aaması olarak sayısallatırılmı belgelerin ön ilemesi ve satır ve kelimelere bölütlenmesi konusunda çalımalar yapılmıtır. Tarihi el yazması belgeler çeitli zorluklar getirmekte, basılı belgelerde kullanılan yöntemlerin uygulanması baarılı sonuçlar üretememektedir. Bu nedenle daha gelimi çözümler üzerine younlaarak satır bölütlemede Hough dönüümü [1] tabanlı bir yöntem uyarlanmı, kelime bölütlemede ise yazıların eiklii göz önüne alınmıtır. Afet nan tarafından salanan belgelerin [4] 30 sayfası üzerinde yapılan çalımalarda elde edilen sonuçlar gelecek çalımalar açısından umut vericidir. In this paper, as a first step to an easy and convenient way to access the manuscripts of Atatürk with a word based search engine, the preprocessing of digitalized documents and their line and word segmentation is studied. The techniques that are applied on printed documents may not yield satisfactory results. Due to this fact, more developed techniques are decided to be applied consisting of a technique based on Hough transform [1] for line segmentation and a technique that is based on dealing with skewness of lines for word segmentation. The results, which are acquired through studies that are conducted on the documents provided by Afet İnan and consisting of 30 pages [2], prove to be highly accurate and promising for future researches. ©2010 IEEE.
Open Access
A Line-based representation for matching words
(2009) Can, Ethem Fatih
With the increase of the number of documents available in the digital environment, efficient access to the documents becomes crucial. Manual indexing of the documents is costly; however, and can be carried out only in limited amounts. Therefore, automatic analysis of documents is crucial. Although plenty of effort has been spent on optical character recognition (OCR), most of the existing OCR systems fail to address the challenge of recognizing characters in historical documents on account of the poor quality of old documents, the high level of noise factors, and the variety of scripts. More importantly, OCR systems are usually language dependent and not available for all languages. Word spotting techniques have been recently proposed to access the historical documents with the idea that humans read whole words at a time. In these studies the words rather than the characters are considered as the basic units. Due to the poor quality of historical documents, the representation and matching of words continue to be challenging problems for word spotting. In this study we address these challenges and propose a simple but effective method for the representation of word images by a set of line descriptors. Then, two different matching criteria making use of the line-based representation are proposed. We apply our methods on the word spotting and redif extraction tasks. The proposed line-based representation does not require any specific pre-processing steps, and is applicable to different languages and scripts. In word spotting task, our results provide higher scores than the existing word spotting studies in terms of retrieval and recognition performances. In the redif extraction task, we obtain promising results providing a motivation for further and advanced studies on Ottoman literary texts.