The Content Based Image retrieval (CBIR) is a very important for retrieving the most visual
relevant images from the large image database. The various low level features are extracted …

Now in these days there are various applications are claimed to extract the accurate
information from the colored image database. This data base having various different kinds …

Mining Techniques. This Paper includes the features of four techniques I, e Color Histogram,
Color moment, Texture, and Edge Histogram Descriptor. The nature of the Image is basically …

This paper proposes a technique to construct Image Ontology using low-level features like
color, texture and shape. The resulting ontology can be used to extract the relevant images …

Research in big data is focused on deriving knowledge from multiple data formats using
intelligent analytics techniques. Medical analytics is a typical example, which encompasses …

The method which is used here for the purpose of feature extraction keep visible qualities of
the picture in mind. In this paper, various feature extraction techniques based on color …

Digital images have extended its prospect in numerous directions, resulting in an explosion
in the volume of image data required to be organized. While most traditional image retrieval …

Recent years have seen a rapid increase in the size of digital image collections. This ever
increasing amount of multimedia data creates a need for new sophisticated methods to …

Images contain information in a very dense and complex form, which a human eye only after
years of training can extract and understand. In Content-Based Image Retrieval (CBIR) …

Fingerprint matching is a process used to check whether two sets of fingerprint come from
the same finger of a person. There are three types of fingerprints in law enforcement …