Keshri  Verma

Department Master In Computer Application
Designation Assistant Professor
Educational Qualification Ph. D.
Contact Number 942551357974
Areas of Interest

H- Index : 2

Data Mining, Digital Image Processing


     Journals :

  1. Kesari Verma, R.K. Jade, L.K.Verma.Classification using Neural Network & Support Vector Machine for Sonar dataset , IJCTT) in Feb 2013.
  2. Kesari Verma, Sanjivani Shantaiya, Kamal Mehta. A Survey on Approaches of Object Detection. IJCA, February, 2013.3. 
  3. Kesari Verma, Sanjivani Shantaiya, Kamal Mehta. Study and Analysis of Methods of Object Detection in Video. International Journal of Softcomputing and Engineering (IJSCE) Volumn-2, Issue-6, January 2013.
  4. Devashree Rai, Kesari Verma and A S Thoke. Article: MSApriori using Total Support Tree Data Structure. International Journal of Computer Applications 43(23):45-49, April 2012. Published by Foundation of Computer Science, New York, USA
  5.  Keshri Verma, Kesari Verma,  A.S. Thoke.  Classification Algorithm based on MS Apriori for Rare Classes. International Journal of Computer Applications (0975 – 8887) Volume 48– No.22, June 2012. pp 52-5.
  6. Devashree Rai, Kesari Verma, A. S. Thoke. Comparative Analysis of Single and Multiple Minimum Support Based Association Rule Mining Algorithms International Journal of Engineering and Advanced Technology (IJEAT) ISSN: 2249 – 8958, Volume-1, Issue-4, April 2012
  7. Kesari Verma, Pritam Singh A.S. Thoke. A Novel Approach to Face Detection Algorithm. International Journal of Computer Applications (0975 – 8887) Volume 29– No.2, September 2011.
  8. Bikesh Kumar Singh, A.S. Thoke, Keshri Verma and Ankita Chandrakar, “Image Information Retrieval From Incomplete Queries Using Color And Shape Features” Signal & Image Processing : An International Journal (SIPIJ) Vol.2, No.4, pp. 213-220, December 2011.
  9. Kesari Verma, Bikesh Singh, L.K.Verma. Distance measurement using Enhanced Histogram Approach for Irregular Images. IRACST - International Journal of Computer Science and Information Technology & Security (IJCSITS), ISSN: 2249-9555, Vol. 2, No. 1, 2012 pp 216-219.
  10. Shubhrata Gupta, Kesari Verma, Nazil Perveen. Facial Expression Recognition System Using Facial Characteristic Points and ID3. International Journal of Computer and Communication Technology (IJCCT) ISSN (ONLINE): 2231 - 0371 , ISSN (PRINT)   : 0975 – 7449, 2012,pp- 45-49,2011.
  11. Kesari Verma, Ligendra Kumar Verma, Ajay Dewanagan, Decision tree induction algorithm for classification of Image data. International   Journal of Computer Science & Information Security, (pp. 303-306), IJCSIS Vol. 9 No. 5, May 2011 ISSN 1947-5500.
  12. Ligendra Kumar Verma, Kesari Verma and Sandip Chandrakar. Hybrid Approach for Image Compression. September 2011  DIP092011003, CIIT Journal of Technology.
  13. Keshri Verma, O.P. Vyas, Efficient Calendar based Temporal association rule, ACM SIGMOD, ISSN No. 0163-5808 , vol 34, No 3 September 2005, pp 63-10. Also available on www.
  14. Keshri Verma, O.P.Vyas. " Temporal approach to Association Rule Mining using T-trees and P-trees ", International Conference on Data Mining ICDM 2005, MLDM 2005, LNAI 3587, pp. 651 – 659, 2005. © Springer-Verlag Berline Heidelberg 2005. Also available on springerverlag.or
  15. Keshri Verma, O.P. Vyas. “Temporal Association rule using Fp-tree approach”,  Varajmihir Sandipani , Ujjain, Vol 1 , No 1, June 2006 Issn 0973-3693 pp 17-23
  16. Keshri Verma, O.P. Vyas. An Approach for  Decision tree classifier for Temporal data”, Science Journal of Pt. Ravishankar Shukla University Raipur.,2004 ,ISSN –NO  0170 –5910  Vol. 18, No B (Science) 2005, pp 
  17. Keshri Verma, O.P. Vyas. Classification based on Temporal Association rule, A.D. Journal of Technology, Volume 2, Number 1, ISSN 0973 3663 pp 41-44,2006.
  18. Keshri Verma, O.P. Vyas. Pattern Recognition in Time series Data, Chhatiisgarh Journal of Science & Technology, Volume 2 (2005) pp 79-86.

Project Sanction.


  1. Iris Recognition system with reference to chhattisgarh person Chhattisagrh council of science and Technology, 2009, 187,800=00


                  Duration 2009-2012


Project Prepared for AICTE-


  1. Similarity analysis between right Iris and Left Iris.


 Conferences and National Seminars Attended 


  1. Kesari Verma, Preetam Sing, A.S. Thoke. “NN based approach for face detection cum face recognition algorithm”, International conference in international conference on ICCESSE 2012 Madrid, Spain March 28-30, 2012,pp 376-380.
  2. Bikesh Kumar Singh, A.S. Thoke. Kesari Verma. “An overview and Comparative Study of Segmentation Techniques for Extraction of Tongue Region for Computerized Tongue Diagnosis”. Proc.   International Conference Parallel, Distributed Computing Technologies and Applications (PDCTA -2011) , Springer (LNCS) in Communication  in Computer and Information Science (CCIS) Volume -203, Part I, pp 473-483, September, 2011.
  3. Kesari Verma, Minu kumari. A Novel Iris Recognition segmentation algorithm, The international Multiconference of Engineers and Computer sciencts (IMECS),2010.
  4. Kesari Verma. Comparitive Study of Difference watermarking Techniques. International MultiConference of Engineers and Computer Scientists 2010, Hong Kong 17-19, March,1010.
  5. Sandip Chandrakar, Kesari Verma, A Hybrid algorithm for Image compression, International conference on Image Processing and Scientific Computing, 201
  6. Kesari Verma. overview of edge detection algorithm for colored images  International conference ICACC-11, NIT Hamirupur, April 6-8,2011.
  7. Kesari Verma, L. K. Verma, Genetic algorithm based decision tree, National conference on RCET, 2008.
  8. Keshri Verma, O.P. Vyas. Sliding window approach for mining stream data, National Conference on Data Mining and E-Governance, February 2007.
  9. Keshri Verma, O.P. Vyas. Comparison of calendar based association rule. National conference on Nation computing development, February, 2007
  10. Keshri Verma, O.P. Vyas. Symbolic approach for Rule discovery in time series database. National conference on Nation computing development, February, 2007
  11. Keshri Verma, O.P. Vyas. Knowledge extraction from time series database, National Conference on Technological Advancement in Processing and Decision Making, 16-17 March, 200
  12. Keshri Verma, O.P. Vyas. Predictive data modeling using Hidden markov model. National Conference on IT, CSIT, March 2006.
  13. Keshri Verma, O.P. Vyas. HMM for Temporal Data Mining, 4th Young Scientist Congress, Agriculture College, Raipur. 28- 1 March , 2006.
  14. Keshri Verma, O. P. Vyas. A Three-domain model for Spatio –Temporal data mining. National Conference on Cyber Security, Data Mining and ICT for the Society, GGU Bilaspur-18-19 Jan 2006.
  15. Keshri Verma, O.P. Vyas, Keshri Verma. Genetic Based Association Rule Mining”, National Conference on Cyber Security, Data Mining and ICT for the Society, GGU Bilaspur-18-19 Jan 2006.
  16. Keshri Verm, O.P. Vyas. Data Mining on Satellite data, National Conference of IEEE , GEC Raipur, 4-5 February, 2006.
  17. Keshri Verm, O.P. Vyas “Mining Positive and Negative association rule : A temporal approach” National Seminar on Multidisciplinary approach  of computer science in higher education. 15-16 December , 2005.
  18. Keshri Verma, O.P.Vyas. “ A Novel approach to time series matching”, International conference on Geographical Information 2005, Accepted.
  19. Keshri Verma, O.P. Vyas, R : “Temporal Association rule without candidate generation”, International  Conference on Multilingual Computing  and Information Management  in Networked Digital Environment , Caliber 2005.
  20. Keshri Verma, O.P. Vyas, “Efficient calendar based  association rule in temporal data” ,Fifth International Conference on Data Mining, Text Mining and their Business Applications, ICDM 2004 ,15-17 , September, Malaga, Spain 2004 (Accepted not Presented)
  21. Keshri Verma,  O.P. Vyas, .Discovering Calendar based association rule : Using FP-tree approach, ORSI , Agra 2004 (Accepted not presented)
  22. Keshri Verma, O.P. Vyas, Discovery temporal association rule :FP tree approach, National  Seminar by Institute of Engineers , January, 2003
  23. Keshri Verma,  ECBA : Enhancement   classification based on Association rule, Young scientist congress, March 1-4 ,Bilaspur,2004      
  24. Keshri Verma,  O.P. Vyas, Historical purview of temporal data Mining , National Conference , on Recent advances in Mathematics , Raipur December 2003
  25. Keshri Verma,  O.P. Vyas. An approach to temporal pattern mining using FP-tree. International Multi Conference of Engineers and Computer Scientists 2007 (IMECS 2007) Hong Kong ,2007.(Accepted)
  26.  Keshri Verma, O.P. Vyas, Mining on Stream data using sliding window approach, National conference on Data Mining, Bilaspur,  2007
  27. Keshri Verma, A New concept of Networking, National seminar Christian college Bhilai, 2003.
  28. Keshri Verma,  O.P. Vyas, “Internet Telephony its Opportunity & Pitfalls” National seminar Raipur,     2002.
Other Info.