Content-based image retrieval approach for biometric security using colour, texture and shape features controlled by fuzzy heuristics

In this paper, we discuss a new content-based image retrieval approach for biometric security, which is based on colour, texture and shape features and controlled by fuzzy heuristics. The proposed approach is based on the three well-known algorithms: colour histogram, texture and moment invariants. The use of these three algorithms ensures that the proposed image retrieval approach produces results which are highly relevant to the content of an image query, by taking into account the three distinct features of the image and similarity metrics based on Euclidean measure. Colour histogram is used to extract the colour features of an image. Gabor filter is used to extract the texture features and the moment invariant is used to extract the shape features of an image. The evaluation of the proposed approach is carried out using the standard precision and recall measures, and the results are compared with the well-known existing approaches. We present results which show that our proposed approach performs better than these approaches.

► A content-based image retrieval approach is proposed for biometric security.
► It is based on colour, texture and shape features.
► Colour histogram is used to extract the colour features of an image.
► Gabor filter is used to extract the texture features.
► The Hu moment invariant is used to extract the shape features of an image.