FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W1566521363> ?p ?o ?g. }

• W1566521363 abstract "Large scale optical character recognition (OCR) refers to or means the computerization of large amounts of documents such as news papers. Despite the diversity of commercial OCR products, this task still remains too far from the mature especially if the input documents are insufficient quality or cursive writing such as the Arabic documents (Vinciarelli, 2002). Indeed, in their project (Holley, 2009), the national library of Australia reports that existing OCR systems are, commonly, weak. Moreover, their conducted experiments on historical newspapers show that the corresponding accuracy raw varied from 71% to 98.02%. This is surely due to the weakness of the approaches and techniques used in these systems. Printed cursive written documents such as the Arabic one presents, in addition, other difficulties which are behind the weaknesses of the existing commercialized systems especially when the quality of the input binary image of the document is not good enough. The first difficulty encountered for such writing is the segmentation of any given input word or sub-word into isolated characters given that the size of each ofwhich is variable. In practice, if the segmentation process is conducted successfully, then it eases the recognition step to a large extent. That is why Latin printedOCR systems are, commonly, more powerful compared to those devoted to the cursive writing documents. Dynamic Time Warp (DTW) algorithm is a well known procedure especially in pattern recognition (Alves et al., 2002; Khemakhem et al., 2005; Philip, 1992; Vuori et al., 2001), (Khemakhem et al., 2009; Kumar et al., 2006; Tapia et al., 2007). The DTW algorithm is the result of the adaptation of dynamic programming to the field of pattern recognition. Printed cursive writing OCR by the DTW algorithm provides very interesting recognition rates without prior character segmentation (such as: the Arabic, Persian, Urdu, latin connected characters,...), (Khemakhem et al., 2005). The purpose of the DTW algorithm is to perform optimal time alignment between a reference pattern and an unknown pattern and evaluate their difference. Intensive experiments show that the recognition rate of the DTW algorithm remains acceptable compared to the existing commercialized systems even when the quality of the input documents is not good enough. Intensive tests on more than 100.000 connected characters (most of them are Arabic cursive and including some important noise) show that the segmentation average rate is greater than 98% and the recognition average rate is 5" @default.
• W1566521363 created "2016-06-24" @default.
• W1566521363 creator A5019492006 @default.
• W1566521363 creator A5020715412 @default.
• W1566521363 creator A5031867214 @default.
• W1566521363 date "2011-10-17" @default.
• W1566521363 modified "2023-09-26" @default.
• W1566521363 title "Grid’5000 Based Large Scale OCR Using the DTW Algorithm: Case of the Arabic Cursive Writing" @default.
• W1566521363 cites W1566022718 @default.
• W1566521363 cites W1795297818 @default.
• W1566521363 cites W2012338341 @default.
• W1566521363 cites W2019986833 @default.
• W1566521363 cites W2063420976 @default.
• W1566521363 cites W2065940646 @default.
• W1566521363 cites W2098415863 @default.
• W1566521363 cites W2139055179 @default.
• W1566521363 cites W2317324699 @default.
• W1566521363 cites W3147165187 @default.
• W1566521363 cites W89902353 @default.
• W1566521363 doi "https://doi.org/10.5772/16305" @default.
• W1566521363 hasPublicationYear "2011" @default.
• W1566521363 type Work @default.
• W1566521363 sameAs 1566521363 @default.
• W1566521363 citedByCount "0" @default.
• W1566521363 crossrefType "book-chapter" @default.
• W1566521363 hasAuthorship W1566521363A5019492006 @default.
• W1566521363 hasAuthorship W1566521363A5020715412 @default.
• W1566521363 hasAuthorship W1566521363A5031867214 @default.
• W1566521363 hasBestOaLocation W15665213631 @default.
• W1566521363 hasConcept C11413529 @default.
• W1566521363 hasConcept C138885662 @default.
• W1566521363 hasConcept C153180895 @default.
• W1566521363 hasConcept C154945302 @default.
• W1566521363 hasConcept C187691185 @default.
• W1566521363 hasConcept C204321447 @default.
• W1566521363 hasConcept C205649164 @default.
• W1566521363 hasConcept C2524010 @default.
• W1566521363 hasConcept C2778755073 @default.
• W1566521363 hasConcept C2778943297 @default.
• W1566521363 hasConcept C28490314 @default.
• W1566521363 hasConcept C33923547 @default.
• W1566521363 hasConcept C41008148 @default.
• W1566521363 hasConcept C41895202 @default.
• W1566521363 hasConcept C58640448 @default.
• W1566521363 hasConcept C96455323 @default.
• W1566521363 hasConceptScore W1566521363C11413529 @default.
• W1566521363 hasConceptScore W1566521363C138885662 @default.
• W1566521363 hasConceptScore W1566521363C153180895 @default.
• W1566521363 hasConceptScore W1566521363C154945302 @default.
• W1566521363 hasConceptScore W1566521363C187691185 @default.
• W1566521363 hasConceptScore W1566521363C204321447 @default.
• W1566521363 hasConceptScore W1566521363C205649164 @default.
• W1566521363 hasConceptScore W1566521363C2524010 @default.
• W1566521363 hasConceptScore W1566521363C2778755073 @default.
• W1566521363 hasConceptScore W1566521363C2778943297 @default.
• W1566521363 hasConceptScore W1566521363C28490314 @default.
• W1566521363 hasConceptScore W1566521363C33923547 @default.
• W1566521363 hasConceptScore W1566521363C41008148 @default.
• W1566521363 hasConceptScore W1566521363C41895202 @default.
• W1566521363 hasConceptScore W1566521363C58640448 @default.
• W1566521363 hasConceptScore W1566521363C96455323 @default.
• W1566521363 hasLocation W15665213631 @default.
• W1566521363 hasLocation W15665213632 @default.
• W1566521363 hasLocation W15665213633 @default.
• W1566521363 hasOpenAccess W1566521363 @default.
• W1566521363 hasPrimaryLocation W15665213631 @default.
• W1566521363 hasRelatedWork W1566521363 @default.
• W1566521363 hasRelatedWork W2004701047 @default.
• W1566521363 hasRelatedWork W2033914206 @default.
• W1566521363 hasRelatedWork W2097577190 @default.
• W1566521363 hasRelatedWork W2293457016 @default.
• W1566521363 hasRelatedWork W2313063416 @default.
• W1566521363 hasRelatedWork W2380963126 @default.
• W1566521363 hasRelatedWork W2789919619 @default.
• W1566521363 hasRelatedWork W2901613113 @default.
• W1566521363 hasRelatedWork W2915524904 @default.
• W1566521363 isParatext "false" @default.
• W1566521363 isRetracted "false" @default.
• W1566521363 magId "1566521363" @default.
• W1566521363 workType "book-chapter" @default.