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Staff

Mr Roshan Suvaris

Post Graduate Department of Computer Application

MCA, 2007, NMAMIT, Nitte; PhD (Pursuing 2017), Bharathiar University, Coimbatore.

Publications
  • Roshan D Suvaris and Dr. S Sathyanarayana (2020). Broken Character Recognition using Connected Components and Convolutional Neural Network –- International Journal of Recent Technology and Engineering (IJRTE)ISSN: 2277-3878,Volume-8, Issue-5s,January2020
  • Roshan D Suvaris, Mohammad Fahad Koya (2020). Word Segmentation for a printed text document – International Journal of Scientific Research in Computer Science Applications and Management Studies- Volume 9 Issue 1, ISSN 2319 –1953
  • Roshan D Suvaris, Dr S Sathyanaraya (2018).Text document restoration algorithm comparison using Binarization and Thresholding – International Journal of Pure and Applied Mathematics Volume 119 No. 15 2018, 1093-1100 ISSN: 1314-3395 (on-line version)
  • Roshan D Suvaris, Mohammed Fahadkoya, Soundarya G (2018). A Survey on Malayalam Character Recognition Using Convolutional Neural Network – ijsrcsams – Volume 7 Issue 6- ISSN 2319 –1953
  • Roshan D Suvaris, Arjun Vyshnav, Aneesha Baby (2018). A Survey on document Character Recognition Using Convolutional Neural Network – ijsrcsams – Volume 7 Issue 6- ISSN 2319 –1953
  • Roshan D Suvaris, Dhanush Shetty K Sandeep Raj(2017). A study on restoration techniques for old image documents -International Journal of Latest Trends in Engineering and Technology , special issue sacaim 2017, pp.116-121 e-ISSN:2278-621X
  • Roshan Suvaris, Abubakker Nasaf , Jessel J Machado (2017). Comparison of text document restoration algorithms using binarization and thresholding – International Journal of Latest Trends in Engineering and Technology, special issue sacaim 2017, pp.300-304 e-ISSN:2278-621X
  • Roshan Suvaris, Thouseef Ahammad, Mohammad Naushad Ali (2017). A study on image binarization techniques for degraded documents – International Journal of Latest Trends in Engineering and Technology ,special issue sacaim 2017, pp.315-318 e-ISSN:2278-621X