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Criminal Data Retrial System (CDRS) through Image Processing

Author(s):

Prof. V. S Ware , B.M.I.T, Solapur; Pawar Ruchita Prashant, B.M.I.T, Solapur; Mulla Tanveer Sultana A. Karim, B.M.I.T, Solapur; Sachdev Jayshri Chandralal, B.M.I.T, Solapur; Randive Amol Bahubali, B.M.I.T, Solapur

Keywords:

CBIR, CDRS, MD5 Algorithm

Abstract

Content Based Image Retrieval (CBIR) is a significant and increasingly popular approach that helps in the retrieval of image data from a huge collection. Image representation based on certain features helps in retrieval process. Three important visual features of an image include Color, Texture and Shape. We propose an efficient image retrieval technique which uses dynamic dominant color, texture and shape features of an image. We will encrypt content data (Color, Texture and Shape) in the hash algorithm is secure enough for critical purposes whether it is MD5 or SHA-1.This hashing algorithm used for only encryption this content cannot be decrypted. That is the image content data cannot be leaked or hacked. In this project of ours we aim to create an application that is helpful the police department to identify criminals and store and retrieve their criminal record data conveniently. This is called Content Based Image Retrieval (CBIR). Image retrieval with multiple features also known as Query by Image Content (QBIC) and the visual information is the application of computer vision to the image retrieval problem, that is, the problem of searching for digital images in large databases. "Image retrieval" means that the search will analyze the actual contents of the image. The term content in this context might refer colors, shapes, textures, or any other information that can be derived from the image itself. Without the ability to examine image content, searches must rely on metadata such as captions or keywords. Such metadata must be generated by a human and stored alongside each image in the database. Problems with traditional methods of image indexing have led to the rise of interest in techniques for retrieving images on the basis of automatically-derived features such as color, texture and shape – a technology now generally referred to as Content-Based Image Retrieval (CBIR). However, the technology still lacks maturity, and is not yet being used on a significant scale. In the absence of hard evidence on the effectiveness of CBIR techniques in practice, opinion is still sharply divided about their usefulness in handling real-life queries in large and diverse image collections.

Other Details

Paper ID: IJSRDV7I20187
Published in: Volume : 7, Issue : 2
Publication Date: 01/05/2019
Page(s): 198-204

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