Ms. Preethi P

Assistant Professor

*IAmAnEngineer*: I’ve always wanted to find solutions to problems that were really going to help society, like reading historical artifacts, #Inscriptions#Historical Document Restoration#Automation of Epigraphy. My Area of Interest Include #Projects based on Regional Language, Cultural and Historical Artifacts using Recent trends like # Machine Learning and Deep Learning.

Computer Science

Undergraduate


Qualification
Qualification Institution Year
MTech R.V.C.E, Bangalore 2013
Responsibilities
  • Minor Coordinator
  • Elective Coordinator

Expertise / list of subjects handled
  • Data Structures with C and its Applications
  • Design and Analysis of Algorithms
  • Unix Shell Scripting
  • Operating Systems
Research Interest
  • Deciphering Epigraphical Inscriptions of Karanataka
  • Brahmi Character Recognition

Research projects (current)
  • Kannada Search Engine Design and Development

Conferences
  • Denoising Epigraphical Estampages Using Nested Run Length Count. In: Kumar N., Venkatesha Prasad R. (eds) Ubiquitous Communications and Network Computing. UBICNET 2019. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering,LNICST vol 276,pp 198-206, Springer,Cham.https://doi.org/10.1007/978-3-030-20615-4_15
  • "Comparative study of basic and hybrid filters for the reduction of noise in Estampages," 2019 1st International Conference on Advanced Technologies in Intelligent Control, Environment, Computing & Communication Engineering (ICATIECE), Bangalore, India, 2019, pp. 8-11, doi: 10.1109/ICATIECE45860.2019.9063768.
  • Multiscale Template Matching to Denoise Epigraphical Estampages. In: Bhateja V., Satapathy S., Zhang YD., Aradhya V. (eds) Intelligent Computing and Communication. ICICC 2019. Advances in Intelligent Systems and Computing, vol 1034. Springer, Singapore, DOI https://doi.org/10.1007/978-981-15-1084-7_59

Journals
  • Denoising and Segmentation of Epigraphical Estampages by Multi Scale Template Matching and Connected Component Analysis. Procedia Computer Science. 171. 1877-1886. DOI 10.1016/j.procs.2020.04.201.
  • A Systematic Approach in Transforming Inscriptions into Modern Text –Review, IJSIP, Volume 11, Number 1, 2018 January (pp. 37-44). DOI http//dx.doi.org/10.14257/ijsip.2018.11.1.03
  • "A Review on Automation of Ancient Epigraphical Images", International Journal of Database Theory and Application Vol.9, No.4 (2016), pp. 143-150 DOI http://dx.doi.org/10.14257/ijdta.2016.9.4.13