The week's pick
Random Articles
Reseach Article
Novel Approach to Extract Lines of Documents for Blind and Impaired People
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 146 - Number 14 |
| Year of Publication: 2016 |
| Authors: A. Gari, G. Khassidi, M. Mrabti |
10.5120/ijca2016910941
|
A. Gari, G. Khassidi, M. Mrabti . Novel Approach to Extract Lines of Documents for Blind and Impaired People. International Journal of Computer Applications. 146, 14 ( Jul 2016), 24-27. DOI=10.5120/ijca2016910941
Abstract
Documents acquired by the blind and visually impaired people always have a degree of inclination, overlap between the characters and 3D geometric transformations. To solve these problems, firstly, a detection and correction of the tilt of the document is applied by the Hough Transform (HT) on the interest points detected on the document image. After separating the texts zones from the other objects, the partial projection is used to estimate the beginnings of lines for every text zone. Finally, extraction the lines of documents is done by following the baselines. The pro-posed method tested on the database used for the ICDAR2015 competition leads to better results for line extraction.
References
- Likforman-Sulem, L., and Faure, C.1994. Une Méthode de Résolution des Conflits d'Alignements pour la Segmentation des Documents Manuscrits. In: 3ème Colloque National sur l'Ecrit et le Document. CNED'94, pp. 265-272. French, Rouen
- Likforman-Sulem, L., and Faure, C. 1994. Extracting Text Lines In Handwritten Documents By Perceptual Grouping. In: Advances in Handwriting and Drawing : A Multidisciplinary Approach, Faure, C., Keuss, P., Lorette, G., Winter, A., pp. 21-38. Paris
- Venturelli, F. 1997. Successful Technique For Unconstrained Hand-Written Line Segmentation. In: Progress in Handwriting Recognition, World Scientific, pp. 563-568
- Bennasri, A., zahour, A., and taconet, B. 1999. Extraction Des Lignes d’un Texte Manuscrit Arabe. In : Vision Interface. VI’99, pp. 41-48. Canada, Trois-Rivières
- Roy, P. P., Pal, U., and Lladós, J. 2008. Morphology Based Handwritten Line Segmentation Using Foreground and Background Information. In: International Conference on Frontiers in Handwriting Recognition.ICFHR,pp. 241-246. Montreal
- Ramappa, M. H., and Krishnamurthy, S. 2012. Skew Detection, Correction and Segmentation of Handwritten Kannada Document. In: International Journal of Advanced Science and Technology.vol. 48, pp. 71-88
- Ouwayed, N., and Belaid, A. 2009. une Approche Génerale pour l'Extraction des Lignes des Document Arabes Anciens Multi Orienté. In: 12eme Colloque International sur le Document Electronique. Montréal
- Ouwayed, N., and Belaid, A. 2009. Separation of Overlapping and Touching Lines within Handwritten Arabic Documents. In: Computer Analysis of Images and Patterns, 13th International Conference. CAIP,pp. 237-244. Münster
- Abdat, A., Khorissi, N., Sehad, A., Mezai, L., Benselama, Z. A., and Namane, A. 2005. Detection de l’Inclinaison de l’Ecriture dans les Documents Arabes Imprimes. In: Colloque National sur le Traitement du Signal et ses Applications. CNTSA’05. Guelma
- Choi, H., and Baraniuk, R. G. 2001. Multiscale image segmentation using wavelet-domain hidden Markov models.In:IEEE Transactions on Image Processing. Vol. 10, pp. 1309 – 1321
- Burie, T. C., Chazalon, J., Coustaty, M., Eskenazi, S., Luqman, M. M., Mehri, M., Nayef, N., OGIER, J.-M., Prum, S., and Rusinol, M. 2015. Competition on Smartphone Document Capture and OCR (SmartDoc). In 13th International Conference on Document Analysis and Recognition. ICDAR2015
- Wolf, C., Jolion, J. M., and Chassaing, F. 2001. Détection et Extraction de Texte de la Vidéo.In : 7èmes Journées d'Etudes et d'Echanges, COmpression et REprésentation des Signaux Audiovisuels. CORESA 2001, pp. 251-258. Dijon
- Gari, A., Khaissidi, G., Mrabti, M., Chenouni, D., and El Yacoubi, M.: OCR for Blind and Visually Impaired. 2015. In: Advanced Information Technology, Services and Systems AIT2S2015. pp. 331-335. SETTAT
- Otsu, N.: A Threshold Selection Method from Gray-Level Histogram. 1979. In: IEEE Transactions on System Man Cybernetics. Vol. 9, pp. 62-66
- Khurshid, K., Siddiqi, I., Faure, C., and Vincent, N. 2009. Comparison of Niblack inspired Binarization Methods for Ancient Documents. In: SPIE Proceedings, Document Recognition and Retrieval XVI.Vol. 7247
- Sakhi, O. B: Segmentation of heterogeneous document images. 2012. an approach based on machine learning, connected components analysis, and texture analysis.Université Paris-Est. PARIS
- Garg, R., and Garg, N. K. 2014. An algorithm for Text Line Segmentation in Handwritten Skewed and Overlapped Devanagari Script.In: International Journal of Emerging Technology and Advanced Engineering.IJETAE, vol. 4(5), pp. 114-118
Index Terms
Keywords