Dissertation/Thesis Abstract

Automated Color and Location Comparison as a Timestamp Recognition Method in Images
by Wegrzyn, Jeremy, M.S., University of Colorado at Denver, 2017, 25; 10275625
Abstract (Summary)

A method to recognize a source camera or family of cameras from a photograph’s timestamp would be a useful tool for image authentication. The proposed method uses the color and location of the timestamp in a photo of dubious origin and compares those characteristics to the known values of various camera makes and models. This method produces accurate results for the test images, correctly recognizing photos from families of cameras with known characteristics and excluding incorrect families. There are challenges to the recognition when the test image has been compressed heavily or reduced in resolution, as happens when uploaded to social media platforms. By looking at additional characteristics to compare with, such as spacing between characters, and a larger database of comparison data, this method would become and even more useful step in image authentication.

Indexing (document details)
Advisor: Grigoras, Catalin
Commitee: Burgess, Scott, Smith, Jeff
School: University of Colorado at Denver
Department: Recording Arts
School Location: United States -- Colorado
Source: MAI 56/04M(E), Masters Abstracts International
Subjects: Computer science
Keywords: Recognition, Time-stamp, Time-stamp recognition, Timestamp, Timestamp recognition
Publication Number: 10275625
ISBN: 978-1-369-78852-5
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