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Marti U, Bunke H (1999) A full English sentence database for off-line handwriting recognition. Pattern Analysis and Application 7(2):190вЂ“204 Lakshmi CV, Patvardhan C (2004) An optical character recognition system for printed Telugu text. IEEE Trans Pattern Anal Mach Intell 20(3):226вЂ“239 Kittler J, Hatef M, Robert PWD, Matas J (1998) On combining classifiers. IEEE Transaction on Pattern Analysis and Machine Intelligence 16(5):550вЂ“554 Hull J (1994) A database for handwritten text recognition research. IEEE Trans Pattern Anal Mach Intell 32(12):2142вЂ“2161 Ghosh D, Dube T, Shivaprasad AP (2010) Script recognition- a review. In: Proceedings of the International Conference on Document Analysis and Recognition, p 1393вЂ“1397 Gatos B, Stamatopoulos N, Louloudis G (2009) Handwriting segmentation contest. Journal of Applied Computational Intelligence and Soft Computing (ACISC), Hindawi Publishing Corporation.

#Handwritten imageds of tamil zip files Offline#

In: Proceedings of the International Conference on Document Analysis and Recognition, p 560вЂ“564Дongre VJ, Mankar VH (2012) Development of comprehensive Devanagari numeral and character database for offline handwritten character recognition. J Mach Learn Res 7:1вЂ“30Дiem M, Fiel S, Kleber F, Sablatnig R (2013) CVL-database: an off-line database for writer retrieval, writer identification and word spotting. Pattern Recogn 48(6):2054вЂ“2071Дemsar J (2006) Statistical comparisons of classifiers over multiple data sets. Int J Doc Anal Recognit 17(4):413вЂ“431Дas N, Sarkar R, Basu S, Saha PK, Kundu M, Nasipuri M (2015) Handwritten Bangla character recognition using a soft computing paradigm embedded in two pass approach. Proc IEEE 86(11):2278вЂ“2324Дas N, Acharya K, Sarkar R, Basu S, Kundu M, Nasipuri M (2014) A benchmark image database of isolated Bangla handwritten compound characters. In: Proceedings of the International Workshop on Frontiers of Handwriting Recognition, p 379вЂ“384Д¬un YL, Bottou L, Bengio Y, Haffiner P (1998) Gradient based learning applied to document recognition. IEEE Trans Pattern Anal Mach Intell 27(11):1720вЂ“1732Д¬haudhuri BB (2006) A complete handwritten numeral database of Bangla-a major Indic script. In: Proceedings of the International Conference on Document Analysis and Recognition, p 789вЂ“793Д«usch A, Boles WW, Sridharan S (2005) Texture for script identification.

International Journal of Pattern Recognition and Artificial Intelligence, World Scientific, 26(4):1253001 (25 pages)Д«hattacharya U, Chaudhuri BB (2005) Databases for research on recognition of handwritten characters of Indian scripts. In: Proceedings of the International Conference on Document Analysis and Recognition, p 140вЂ“145ДЄleai A, Nagabhushan P, Pal U (2012) Dataset and Ground truth for Handwritten Text in Four Different Scripts. Beside script identification, the dataset can be effectively used in many other applications of document image analysis such as script sentence recognition/understanding, text-line segmentation, word segmentation/recognition, word spotting, handwritten and machine printed texts separation and writer identification.ДЄleai A, Nagabhushan P, Pal U (2011) A benchmark Kannada handwritten document dataset and its segmentation. Further, we report the benchmark results for handwritten script identification (HSI). PHDIndic_11 is composed of 1458 document text-pages written by 463 individuals from various parts of India. In this paper, we present a page-level handwritten document image dataset ( PHDIndic_11), of 11 official Indic scripts: Bangla, Devanagari, Roman, Urdu, Oriya, Gurumukhi, Gujarati, Tamil, Telugu, Malayalam and Kannada. Considering HDR, Indic scriptвЂ™s document recognition is still in its early stage compared to others such as Roman and Arabic. Without publicly available dataset, specifically in handwritten document recognition (HDR), we cannot make a fair and/or reliable comparison between the methods.