Offline Handwritten Devanagari Character Identification

  • Gita SinhaEmail author
  • Shailja Sharma
Conference paper
Part of the Lecture Notes on Data Engineering and Communications Technologies book series (LNDECT, volume 49)


Handwritten character identification is a most torrid area of research where countless researchers have presented their work and is still an area less than research to accomplish higher identification accuracy. In earlier period acquisition, storing and exchanging information in type of handwritten script was the well-situated way and is still widespread as a convenient medium in the era of digital equipment. As advanced technology like tablet has been used and many comparable devices that allows humans to key in data in form of handwriting character. Manuscript is written by the use of paper and then converting to an image via scanner, identify handwritten characters as of the image is well-known as off-line handwritten character identification is a demanding work due to the fact that each author will have diverse style of writing and all scripts have their own character set and complexities to write.


Identification of handwritten devnagari character Off-line handwriting identification of character Image pre-processing Segmentation Feature determine technique Classification methods 



I am extremely appreciative to my respected project guide Dr. Shailja Sharma and Head of Dept. Dr. Sanjiv Kumar Gupta for his thoughts and facilitate to be valuable and helpful during the conception of this review paper. I would like to express thanks all the faculties who have support me during my review paper. At last, I am grateful to my associates who mutual their knowledge in this field.


  1. 1.
    Dongare, S., et al.: Handwritten character identification using neural network. IOSR J. Comput. Eng. 16(2, Ver. X), 74–79 (2014). ISSN 2278-0661, p- ISSN 2278-8727CrossRefGoogle Scholar
  2. 2.
    Aggarwal, A., et al.: Handwritten devanagari character identification using gradient features. Int. J. Adv. Res. Comput. Sci. Softw. Eng. 2(5) (2012)Google Scholar
  3. 3.
    Saxena, S., et al.: Novel approach of handwritten Devanagari character identification through feed forward back propagation neural network. Int. J. Comput. Appl. 51(20) (2012). (0975 – 8887)Google Scholar
  4. 4.
    Goyal, P., et al.: Devanagari character identification towards natural human-computer interaction (2010)Google Scholar
  5. 5.
    Holambe, A.K., et al.: Comparative study of different classifiers for Devanagari handwritten character identification. Int. J. Eng. Sci. Technol. 2(7), 2681–2689 (2010)Google Scholar
  6. 6.
    Ajmire, S.P., et al.: An analytical study of handwritten Devanagari character identification. IJARCSSE 5(11) (2015)Google Scholar
  7. 7.
    Agnihotri, V.P.: Offline handwritten Devanagari script identification. I.J. Inf. Technol. Comput. Sci. 8, 37–42 (2012)Google Scholar
  8. 8.
    Swethalakshmi, H., et al.: Online handwritten character identification of Devanagari and Telugu characters using support vector machines (2006)Google Scholar
  9. 9.
    Dongre, V.J.: A review of research on Devnagari character identification. Int. J. Comput. Appl. 12(2) (2010). (0975–8887)Google Scholar
  10. 10.
    Surya Nath, R.S., et al.: Handwritten character identification – a review. Int. J. Sci. Res. Publ. 5(3) (2015). ISSN 2250-3153Google Scholar
  11. 11.
    Vamvakas, G., et al.: A complete optical character identification methodology for historical documents. IEEE (2008). 978-0-7695-3337-7/08Google Scholar
  12. 12.
    Khanale, P.B., et al.: Handwritten Devanagari character identification using artificial neural network. J. Artif. Intell. 4(10), 55–62 (2011)Google Scholar
  13. 13.
    Abdul Rahiman, M., et al.: A detailed study and analysis of OCR research in South Indian scripts. In: 2009 International Conference on Advances in Recent Technologies in Communication and Computing. IEEE (2009). 978-0-7695-3845-7/09Google Scholar
  14. 14.
    Shelke, S., et al.: A novel multi-feature multi-classifier scheme for unconstrained handwritten Devanagari character identification. In: 2010 12th International Conference on Frontiers in Handwriting Identification. IEEE (2010)., 978-0-7695-4221-8/10
  15. 15.
    Kale, et al.: Handwritten Devanagari compound character identification using legendre moment an artificial neural network approach. In: 2013 International Symposium on Computational and Business Intelligence. IEEE (2013). 978-0-7695-5066-4/13Google Scholar
  16. 16.
    Ghosh, R., et al.: Study of two zone-based features for online Bengali and Devanagari character identification. In: 2015 13th International Conference on Document Analysis and Identification (ICDAR). IEEE (2015). 978-1-4799-1805-8/15/2015Google Scholar
  17. 17.
    Manwatkar, P.M., et al.: Text identification from images. In: IEEE Sponsored 2nd International Conference on Innovations in Information, Embedded and Communication systems (ICIIECS) (2015)Google Scholar
  18. 18.
    Indira, B., et al.: Devanagari character identification: a short review. Int. J. Comput. Appl. 59(6) (2012). (0975 – 8887)Google Scholar
  19. 19.
    Dixit, A., et al.: Handwritten Devanagari character identification using wavelet based feature determine and classification. In: 2014 Annual IEEE India Conference (INDICON) (2014)Google Scholar
  20. 20.
    Jino, P.J., Balakrishnan, K., Bhattacharya, U.: Offline handwritten Malayalam word recognition using a deep architecture. In: Soft Computing for Problem Solving, pp. 913–925. Springer, Singapore (2019)Google Scholar
  21. 21.
    Puri, S., Singh, S.P.: Toward recognition and classification of Hindi handwritten document image. In: Ambient Communications and Computer Systems, pp. 497–507. Springer, Singapore (2019)Google Scholar
  22. 22.
    Jacob, I.J.: Capsule network based biometric recognition system. J. Artif. Intell. 1(02), 83–94 (2019)Google Scholar

Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  1. 1.CSE DepartmentRNTUBhopalIndia

Personalised recommendations