Matches in SemOpenAlex for { <https://semopenalex.org/work/W2116516673> ?p ?o ?g. }
- W2116516673 endingPage "42" @default.
- W2116516673 startingPage "35" @default.
- W2116516673 abstract "The goal of this paper is to present an overview about the thinning problem in Arabic text recognition. Thinning “Skeletonization” is a very crucial stage in the ACR, it simplifies the text shape and reduces the amount of data that needs to be handled and it is usually used as a pre-processing stage for recognition and storage systems. The skeleton of Arabic text can be used for each of the baseline detection, character segmentation, and features extraction and also ultimately supporting the classification. Choosing or designing the effective thinning algorithm for Arabic text is crucial in ACR. In this paper, the importances of the thinning for the ACR and the usage of the text skeleton in ACR system are discussed and presented. As well as the challenges that have an impact on the thinning of Arabic text are discussed. The methods of Arabic text thinning are discussed and reviewed based on the technique used, and the methods advantages and drawbacks are discussed in details." @default.
- W2116516673 created "2016-06-24" @default.
- W2116516673 creator A5001230867 @default.
- W2116516673 creator A5008207032 @default.
- W2116516673 date "2014-10-18" @default.
- W2116516673 modified "2023-09-30" @default.
- W2116516673 title "The Thinning Problem in Arabic Text Recognition A Comprehensive Review" @default.
- W2116516673 cites W138336933 @default.
- W2116516673 cites W1575739010 @default.
- W2116516673 cites W1578173264 @default.
- W2116516673 cites W1581964246 @default.
- W2116516673 cites W168993171 @default.
- W2116516673 cites W1837418622 @default.
- W2116516673 cites W1884742907 @default.
- W2116516673 cites W1965131074 @default.
- W2116516673 cites W1968542801 @default.
- W2116516673 cites W1977597938 @default.
- W2116516673 cites W1986358255 @default.
- W2116516673 cites W1991460069 @default.
- W2116516673 cites W2002859300 @default.
- W2116516673 cites W2009058975 @default.
- W2116516673 cites W2015421919 @default.
- W2116516673 cites W2020675303 @default.
- W2116516673 cites W2039367092 @default.
- W2116516673 cites W2043742837 @default.
- W2116516673 cites W2044139157 @default.
- W2116516673 cites W2044630651 @default.
- W2116516673 cites W2050828411 @default.
- W2116516673 cites W2051580060 @default.
- W2116516673 cites W2056035389 @default.
- W2116516673 cites W2063997600 @default.
- W2116516673 cites W2066778284 @default.
- W2116516673 cites W2067261957 @default.
- W2116516673 cites W2079087032 @default.
- W2116516673 cites W2093489751 @default.
- W2116516673 cites W2097297552 @default.
- W2116516673 cites W2098160382 @default.
- W2116516673 cites W2099334287 @default.
- W2116516673 cites W2108736209 @default.
- W2116516673 cites W2110997526 @default.
- W2116516673 cites W2111630436 @default.
- W2116516673 cites W2114662278 @default.
- W2116516673 cites W2128761188 @default.
- W2116516673 cites W2132333696 @default.
- W2116516673 cites W2138799855 @default.
- W2116516673 cites W2141048855 @default.
- W2116516673 cites W2149698220 @default.
- W2116516673 cites W2152542695 @default.
- W2116516673 cites W2155678611 @default.
- W2116516673 cites W2157413470 @default.
- W2116516673 cites W2158008371 @default.
- W2116516673 cites W2159993490 @default.
- W2116516673 cites W2167059107 @default.
- W2116516673 cites W2169412488 @default.
- W2116516673 cites W2171927392 @default.
- W2116516673 cites W2172001899 @default.
- W2116516673 cites W2182203479 @default.
- W2116516673 cites W2229767801 @default.
- W2116516673 cites W2309460698 @default.
- W2116516673 cites W2520933715 @default.
- W2116516673 cites W593726012 @default.
- W2116516673 cites W1440775511 @default.
- W2116516673 cites W2490628051 @default.
- W2116516673 cites W2782347766 @default.
- W2116516673 doi "https://doi.org/10.5120/18055-8969" @default.
- W2116516673 hasPublicationYear "2014" @default.
- W2116516673 type Work @default.
- W2116516673 sameAs 2116516673 @default.
- W2116516673 citedByCount "5" @default.
- W2116516673 countsByYear W21165166732014 @default.
- W2116516673 countsByYear W21165166732017 @default.
- W2116516673 countsByYear W21165166732018 @default.
- W2116516673 countsByYear W21165166732020 @default.
- W2116516673 crossrefType "journal-article" @default.
- W2116516673 hasAuthorship W2116516673A5001230867 @default.
- W2116516673 hasAuthorship W2116516673A5008207032 @default.
- W2116516673 hasBestOaLocation W21165166731 @default.
- W2116516673 hasConcept C138885662 @default.
- W2116516673 hasConcept C154945302 @default.
- W2116516673 hasConcept C204321447 @default.
- W2116516673 hasConcept C205649164 @default.
- W2116516673 hasConcept C23123220 @default.
- W2116516673 hasConcept C2781353100 @default.
- W2116516673 hasConcept C41008148 @default.
- W2116516673 hasConcept C41895202 @default.
- W2116516673 hasConcept C96455323 @default.
- W2116516673 hasConcept C97137747 @default.
- W2116516673 hasConceptScore W2116516673C138885662 @default.
- W2116516673 hasConceptScore W2116516673C154945302 @default.
- W2116516673 hasConceptScore W2116516673C204321447 @default.
- W2116516673 hasConceptScore W2116516673C205649164 @default.
- W2116516673 hasConceptScore W2116516673C23123220 @default.
- W2116516673 hasConceptScore W2116516673C2781353100 @default.
- W2116516673 hasConceptScore W2116516673C41008148 @default.
- W2116516673 hasConceptScore W2116516673C41895202 @default.
- W2116516673 hasConceptScore W2116516673C96455323 @default.
- W2116516673 hasConceptScore W2116516673C97137747 @default.
- W2116516673 hasIssue "3" @default.