The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Jan. 26, 2021

Filed:

Mar. 14, 2019
Applicant:

Tata Consultancy Services Limited, Mumbai, IN;

Inventors:

Krishna Rao Kakkirala, Hyderabad, IN;

Srinivasa Rao Chalamala, Hyderabad, IN;

Bala Mallikarjunarao Garlapati, Hyderabad, IN;

Balakrishna Gudla, Hyderabad, IN;

Santosh Kumar Jami, Hyderabad, IN;

Arun Kumar Jindal, Gurgaon, IN;

Ajeet Kumar Singh, Pune, IN;

Assignee:
Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06T 1/00 (2006.01); G06K 9/62 (2006.01); G06N 20/00 (2019.01); G06N 3/08 (2006.01);
U.S. Cl.
CPC ...
G06T 1/0042 (2013.01); G06K 9/6269 (2013.01); G06N 3/08 (2013.01); G06N 20/00 (2019.01); G06T 1/005 (2013.01); G06T 2201/0065 (2013.01); G06T 2201/0083 (2013.01); G06T 2201/0201 (2013.01);
Abstract

Systems and methods for insertion of a watermark into images and tampering detection of the watermarked images by a Convolutional Neural Network (CNN) technique. The traditional systems and methods provide for detecting the tampering of the watermarked images by simply identifying a presence of an inserted watermark into an image but none them provide for inserting a random sequence into input image(s) and then detect the tampering by classifying the input image(s) by a neural network. Embodiments of the present disclosure provide for insertion of the watermark into the input image(s) and tampering detection of the watermarked images by training a Convolutional Neural Network (CNN)to classify the images as tampered or non-tampered, extracting random noise, obtaining non-classified watermarked images from the random noise, and obtaining, from the non-classified watermarked images, classified watermarked images and detecting an absence or a presence of the tampering based upon the classified watermarked images.


Find Patent Forward Citations

Loading…