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Encryption-Free Framework of Privacy-Preserving Image Recognition for Photo-Based Information Services

Author(s):

R. V. UdayKumar , Sri Venkateswara College of Engineering And Technology; N. PrasadReddy, Sri Venkateswara College of Engineering And Technology; G. Hanesh, Sri Venkateswara College of Engineering And Technology; N. Teja, Sri Venkateswara College of Engineering And Technology; A. M. Rangarajan, Sri Venkateswara College of Engineering And Technology

Keywords:

Image Recognition, client server Architecture, Enfpire

Abstract

Mobile phones ,smart phones, computers, Laptops are widely used all over the world . To protect the data that is stored in these devices are protected by using different types of privacy option like patterns, passwords etc., along with this privacy options there is one more option nothing but the image recognition and the performance of image recognition has drastically increased along with the learning and advanced technologies. Usually photo based information are provided in the client server architecture are getting popular from the background. Customer or the client used to take a picture and send it to the server there it checks or spots it with an image recognizer and returns the related information to the user as result. This type of image recognition causes the privacy issues because image recognition results are sometimes privacy sensitive. In order to tackle with this problem, in this paper one if the framework of privacy image recognition called Enfpire, by this the user can uniquely determine the recognition result where the server cannot uniquely determine the recognition result. Here first a visual feature from their taken photo and transform it by the client so that the server cannot uniquely determine the recognition result. Later the user send the transformed feature to the server, and it returns a set of candidates to the users. Finally to obtain the final result, the user compare the candidates to the original visual feature.

Other Details

Paper ID: IJSRDV7I30863
Published in: Volume : 7, Issue : 3
Publication Date: 01/06/2019
Page(s): 1253-1256

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