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Now days face image of people is the interesting area of users. Most of the time images are in digital form. Thus, content-based face image retrieval is a technique which facilitates for many emerging applications. In this paper, automatically detected human attributes are used to enhance the performance of content based face image retrieval. Here, low level features of image are combined with high level features of image to get more efficient results about image retrieval. In this work, semantic codewords for face retrieval are constructed by using semantic cues of the face image to improve content based face image retrieval. Secured Quick Crypt (SQC) encryption algorithm is applied on images when they are transferred via network. This will protect image from getting attacked. The proposed method can achieve a set of relevant and secured results as compared to the existing methods.

Image Retrieval using Sparse Codewords with Cryptography for Enhanced Security