Preethi P
Associate Professor
- Teaching
About
*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to find solutions to problems that were really going to help society, like reading historical artifacts, #Inscriptions#Historical Document Restoration#Automation of Epigraphy.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.
Data Structures with C and its Applications
Design and Analysis of Algorithms
Unix Shell Scripting
Operating Systems
Machine Intelligence
Reinforcement Learning
Minor Coordinator
Elective Coordinator
Deciphering Epigraphical Inscriptions of Karnataka
Brahmi Character Recognition
Kannada Search Engine Design and Development
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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
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"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.
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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
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
Education
MTech, R.V.C.E, Bangalore, 2013
Ph.D in Computer Science and Engineering, VTU, 2022