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1	An Improved Skew Angle Detection and Correction Technique for Historical Scanned Documents Using Morphological Skeleton and Progressive Probabilistic Hough Transform
	Boudraa, Omar; Hidouci, Walid-Khaled; Michelucci, Dominique
	In: 2017 5TH INTERNATIONAL CONFERENCE ON ELECTRICAL ENGINEERING - BOUMERDES (ICEE-B) ; 5th International Conference on Electrical Engineering - Boumerdes (ICEE-B) ; https://hal-univ-bourgogne.archives-ouvertes.fr/hal-01858577 ; 5th International Conference on Electrical Engineering - Boumerdes (ICEE-B), Oct 2017, Boumerdes, Algeria ; https://ieeexplore.ieee.org/document/8192044/ (2017)
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2	L’image d’archives. Une image en devenir
	Maeck, Julie; Steinle, Matthias. - : HAL CCSD, 2016. : Presses universitaires de Rennes, 2016
	In: https://hal.archives-ouvertes.fr/hal-01432698 ; Julie Maeck; Matthias Steinle. France. Presses universitaires de Rennes, 2016, Collection "Histoire", Série "Archives, histoire et société", 978-2-7535-5169-5 ; http://www.pur-editions.fr/detail.php?idOuv=4245 (2016)
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3	Images du Moyen Âge dans la ville : l’inscription spatiale de médiévalité
	Fraysse, Patrick
	In: Communication & langages, N 171, 1, 2012-04-25, pp.3-17 (2012)
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4	Montages culinaires, la partition du légume
	Leleu-Merviel, Sylvie
	In: Communication & langages, N 164, 2, 2010-06-01, pp.53-71 (2010)
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5	Analysis Of Multi-lingual Documents With Complex Layout And Content
	Pati, Peeta Basa. - 2006
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6	A Methodology for End-to-End Evaluation of Arabic Document Image Processing Software
	Herceg, Paul M.; Ball, Catherine N.
	In: DTIC (2006)
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7	The Architecture of TrueViz: A Groundtruth/Metadata Editing and Visualizing Toolkit
	Lee, Chang Ha; Kanungo, Tapas
	In: DTIC (2001)
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8	The Bible, Truth, and Multilingual OCR Evaluation
	Kanungo, Tapas; Resnik, Philip
	In: DTIC (1998)
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9	A Multiple Feature based Novel Approach for Identification of Printed Indian Scripts at Word Level
	Gopal Prasad; Atul Kumar Singh; Pawan Kumar
	In: http://research.ijcaonline.org/volume85/number15/pxc3893462.pdf
	Abstract: In a country like India where different scripts are in use, automatic identification of printed script facilitates many important applications such as automatic transcription of multilingual documents and for the selection of script specific OCR in a multilingual environment. In this paper a novel method to identify the script type of the collection of documents printed in seven Indian languages at word level is proposed. These languages are Bangla, Hindi, English, Malayalam, Oriya, Tamil and Kannada. The recognition is based upon multiple features extracted using Discrete Cosine Transform (DCT) and Discrete Wavelet Transform (DWT). Script classification performance is analyzed using the K-nearest neighbor classifier by comparing the majority of voting’s between the outputs of DCT and DWT based methods. The proposed scheme utilizes the strength of both the DCT and DWT based features. The results of experimentation found the overall accuracy to be 98.11 % which show the superiority of the proposed multiple features based scheme over several existing schemes of script identification.
	Keyword: Discrete Cosine Transform (DCT; Discrete Wavelet Transform (DWT; General Terms Script Identification; Image Preprocessing; K-NN classifier; Multi-scripts Images; OCR. Keywords Multilingual Document Images; Standard Deviation
	URL: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.428.9005 http://research.ijcaonline.org/volume85/number15/pxc3893462.pdf
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