Pixel plot and trace based segmentation method for bilingual handwritten scripts using feedforward neural network (original) (raw)

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References

  1. Pal U, Roy RK, Roy K, Kimura F (2009) Indian multi-script full pin-code string recognition for postal automation. In: 10th International conference on document analysis and recognition, 2009, ICDAR ‘09, pp 456–460, 26–29 July 2009. ISSN 1520-5363. doi:10.1109/ICDAR.2009.171
  2. Pal U, Roy RK, Roy K, Kimura F (2012) Multi-lingual city name recognition for Indian postal automation. In: 2012 International conference on frontiers in handwriting recognition (ICFHR), pp 169–173, 18–20 Sep 2012. ISBN: 978-1-4673-2262-1. doi:10.1109/ICFHR.2012.238
  3. Pal S, Alireza A, Pal U, Blumenstein M (2012) Multi-script off-line signature identification. In: 12th International conference on hybrid intelligent systems (HIS), pp 236–240, 4–7 Dec 2012. ISBN 978-1-4673-5114-0. doi:10.1109/HIS.2012.6421340
  4. Wshah S, Kumar G, Govindaraju V (2012) Multilingual word spotting in offline handwritten documents. In: 21st International conference on pattern recognition (ICPR), pp 310–313, 11–15 Nov 2012. INSPEC Accession Number: 13324552, ISSN 1051-4651
  5. Chaudhuri BB, Bera S (2009). Handwritten text line identification in Indian scripts. In: 10th International conference on document analysis and recognition. ICDAR ‘09, pp 636–640, 26–29 July 2009. ISSN 1520-5363. doi:10.1109/ICDAR.2009.69
  6. Wshah S, Kumar G, Govindaraju V (2012) Script independent word spotting in offline handwritten documents based on hidden Markov models. In: International conference on frontiers in handwriting recognition (ICFHR), pp 14–19, 18–20 Sep 2012. ISSN 978-1-4673-2262-1. doi:10.1109/ICFHR.2012.264
  7. Natarajan P, Shirin S, Prasad R, MacRostie E, Subramanian K (2006) Multi-lingual offline handwriting recognition using hidden Markov models: a script-independent approach. In: Book title Arabic and Chinese handwriting recognition, pp 231–250, 27–28, Sep 2006. ISBN 978-3-540-78198-1. doi:10.1007/978-3-540-78199-8_14
  8. Rajput GG, Anita HB (2012) Handwritten script recognition using DCT, Gabor filter and wavelet features at line level. In: Book title: soft computing techniques in vision science, pp 33–43. ISBN 978-3-642-25506-9. doi:10.1007/978-3-642-25507-6_4
  9. Pal U, Sharma N, Wakabayashi T, Kimura F (2007). Handwritten numeral recognition of six popular Indian scripts. In: Ninth international conference on document analysis and recognition, 2007. ICDAR 2007, pp 749–753, 23–26 Sept 2007. ISBN 978-0-7695-2822-9. doi:10.1109/ICDAR.2007.4377015
  10. Pal U, Chaudhuri BB (1997) Automatic separation of words in multi-lingual multi-script Indian documents. In: Proceedings of the fourth international conference on document analysis and recognition, pp 576–579, 18–20 Aug 1997. ISBN 0-8186-7898-4. doi:10.1109/ICDAR.1997.620567
  11. Chaudhuri BB, Bera S (2009). Handwritten text line identification in Indian scripts. In: 10th International conference on document analysis and recognition, 2009. ICDAR ‘09, pp 636–640, 26–29 July 2009. ISBN 978-1-4244-4500-4. INSPEC Accession Number: 10904634
  12. Jayadevan R, Pal U, Kimura F (2010) Recognition of words from legal amounts of Indian bank cheques. In: International conference on frontiers in handwriting recognition (ICFHR), pp 166–171, 16–18 Nov 2010. ISBN 978-1-4244-8353-2. doi:10.1109/ICFHR.2010.33
  13. Pal U, Roy RK, Kimura F (2010) Bangla and english city name recognition for Indian postal automation. In: 20th International conference on pattern recognition (ICPR), pp 1985–1988, 23–26 Aug 2010. ISBN 978-1-4244-7542-1. doi:10.1109/ICPR.2010.489
  14. Stamatopoulos N, Gatos B, Louloudis G, Pal U (2013) ICDAR 2013 handwriting segmentation contest. In: 12th International conference on document analysis and recognition (ICDAR), pp 1402–1406, 25–28 Aug 2013. ISSN 1520-5363. doi:10.1109/ICDAR.2013.283
  15. Wu X, Tang Y, Bu W (2014) Offline text-independent writer identification based on scale invariant feature transform. IEEE Trans Inf Forensics and Secur 526–536. ISSN 1556-6013. doi:10.1109/TIFS.2014.2301274
  16. Pal S, Pal U, Blumenstein M (2012) Off-line english and Chinese signature identification using foreground and background features. In: The 2012 international joint conference on neural networks (IJCNN), pp 1–7, 10–15 June 2012. ISBN 978-1-4673-1488-6. doi:10.1109/IJCNN.2012.6252613
  17. Ryu J, Koo HI, Cho NI (2015) Word segmentation method for handwritten documents based on structured learning. IEEE Trans Signal Process Lett 22(8):1161–1165
  18. Dhaka VP, Sharma MK (2015) An efficient segmentation technique for Devanagari offline handwritten scripts using the feedforward neural network. Neural Comput Appl. doi:10.1007/s00521-015-1844-9
  19. Dhaka VP, Sharma MK (2015) Classification of image using a genetic general neural decision tree. Int J Appl Pattern Recognit 2(1):76–95
    Article Google Scholar
  20. Ryu J, Koo HI, Cho NI (2015) “Word segmentation method for handwritten documents based on structured learning”. IEEE Trans Signal Process Lett 1161–1165. doi:10.1109/LSP.2015.2389852
  21. Li Y, Zheng Y, Doermann D (2008) “Script-independent text line segmentation in freestyle handwritten documents” l2(3) 1313–1329. doi:10.1109/TPAMI.2007.70792
  22. Nagar R, Mitra SK (2015) Feature extraction based on stroke orientation estimation technique for handwritten numeral. Eighth Int Conf Adv Pattern Recognit (ICAPR) 2(3):1–6. doi:10.1109/ICAPR.2015.7050654
    Google Scholar

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