H. R. Chennamma
Publication Count: 1
Publication List:
(1) Image Splicing Detection Using Inherent Lens Radial Distortion, Volume 7, Issue 6, November 2010
About H. R. Chennamma:
H.R. Chennamma received her graduate degree in Computer Applications with distinction in the year 2003, Vishwesharaiah Technological University, India. She was a Project Trainee for a year at the National Aerospace Laboratory (NAL), Bangalore, India. She served as a software engineer for a year in a multinational software company, Bangalore, India. Mrs. Chennamma is now a Senior Research Fellow (SRF) in National Computer Forensic Laboratory, Ministry of Home Affairs, Government of India, Hyderabad since 2005. Subsequently, she was awarded Ph.D. program fellowship at the Department of Computer Science, University of Mysore in the year 2006. Mrs. Chennamma is the recipient of "Best Scientific Paper Award" in the All India Forensic Science Conference, Kolkata, India in the year 2007. Her current research interests are Image Forensics, Pattern Recognition and Image Retrieval.
Publication List:
(1) Image Splicing Detection Using Inherent Lens Radial Distortion, Volume 7, Issue 6, November 2010

About H. R. Chennamma:
H.R. Chennamma received her graduate degree in Computer Applications with distinction in the year 2003, Vishwesharaiah Technological University, India. She was a Project Trainee for a year at the National Aerospace Laboratory (NAL), Bangalore, India. She served as a software engineer for a year in a multinational software company, Bangalore, India. Mrs. Chennamma is now a Senior Research Fellow (SRF) in National Computer Forensic Laboratory, Ministry of Home Affairs, Government of India, Hyderabad since 2005. Subsequently, she was awarded Ph.D. program fellowship at the Department of Computer Science, University of Mysore in the year 2006. Mrs. Chennamma is the recipient of "Best Scientific Paper Award" in the All India Forensic Science Conference, Kolkata, India in the year 2007. Her current research interests are Image Forensics, Pattern Recognition and Image Retrieval.








