R. Senthilkumar

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The objective of Digital Image processing(DIP) refers to manipulate and enhance the image quality. There are plenty of image processing applications and problems are there, namely image representation enhancement, restoration and compression etc., In this paper, only three types of histogram modification methods (i.e. HE, AHE, & CLAHE) are discussed and(More)
This paper describes in detail about 2D and 3D face and video face databases developed in the year from 1992 to 2009. The still face database discussed here includes: Our Laboratory Database of Faces (ORL), Yale face database, Yale face databaseB(B stands for Big), Yale face database extendedB, FERET(Face Recognition Technology) face database and CASPEAL is(More)
This paper describes in detail about important 2D and 3D face and video face databases. The face and video face databases discussed here includes: Indian Institute of Technology Kanpur (IIT-K) database, Makeup dataset, University of North Carolina Wilmington Craniofacial Morphology (MORPH) non-commercial face database, Surveillance face (SCface) database,(More)
In this paper, we describe a new approach in face recognition by which the recognition accuracy can be increased substantially. In our approach a detail correlation study has been made on standard database such as Yale face database. Based on correlation coefficient, face images of individuals are duplicated in train set or test set or in both category.(More)
This paper presents the applications of image processing specifically using Indian meteorological satellite imageries. The eye is the very important characteristics of a mature Tropical cyclone (TC) and realization their location is very difficult for weather forecast. In order to improve the objectivity and precision of the location of TC, a novel(More)
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