Featured Research

from universities, journals, and other organizations

Researchers Detect Fake Art From Originals

Date:
July 12, 2008
Source:
Penn State
Summary:
As museums continue to digitize their art collections, it becomes increasingly easier for paintings to be forged. Scientists are now working on a digital system to help detect original works from counterfeit ones.

As museums continue to digitize their art collections, it becomes increasingly easier for paintings to be forged. Two Penn State researchers are part of an international team working on a digital system to help detect original works from counterfeit ones.

Related Articles


James Z. Wang, associate professor of information sciences and technology, Jia Li, associate professor of statistics, and their colleagues published their work in the July issue of IEEE Signal Processing.

The team's findings are based on 101 high-resolution grayscale scans of van Gogh paintings provided by the Van Gogh and Krφller-Mόller Museums in the Netherlands. Wang and Li broke each scan down into sections measuring 512 by 512 pixels, or about 2.5 by 2.5 inches in canvas size, and analyzed them based on patterns and geometric characteristics of the brush strokes.

From the 101 scans received from the museums, art historians identified 23 as unquestionably authentic van Gogh works. These were used by the computer system as a training database for van Gogh's brushstroke styles.

Statistical models were created to capture the unique style, or "handwriting," that became the artist's signature in 23 of the scans. The other 78 -- either works of van Gogh, works of van Gogh's peers or paintings that had at one time been attributed to him but later found to be unauthentic -- were compared against the generated models to test the algorithms.

Wang and Li, along with computer science and engineering doctoral student Weina Ge, compiled those findings into an online system that allows any painting to be compared against existing data to help determine its authenticity.

The painting analysis project results were first presented at a workshop at the Van Gogh Museum in May 2007. Other authors of the paper, "Image Processing for Artist Identification: Computerized Analysis for Vincent van Gogh's Painting Brushstrokes" include: C. Richard Johnson Jr., Cornell University; Ella Hendriks, Van Gogh Museum; Igor J. Berezhnoy, Phillips Research Europe; Eugene Brevdo, Shannon M. Hughes and Ingrid Daubechies, Princeton University; and Eric Postma, Maastricht University.

Although the research in this field is just starting, Wang said he is confident about its future.

"I believe it is very important to study arts and cultural heritages. Through tackling these tough problems, we can advance the core technologies at the same time," he said. "I anticipate computer scientists, art historians and mathematicians to collaborate more in the future."

 The National Science Foundation supported this work.


Story Source:

The above story is based on materials provided by Penn State. Note: Materials may be edited for content and length.


Cite This Page:

Penn State. "Researchers Detect Fake Art From Originals." ScienceDaily. ScienceDaily, 12 July 2008. <www.sciencedaily.com/releases/2008/07/080710110752.htm>.
Penn State. (2008, July 12). Researchers Detect Fake Art From Originals. ScienceDaily. Retrieved October 25, 2014 from www.sciencedaily.com/releases/2008/07/080710110752.htm
Penn State. "Researchers Detect Fake Art From Originals." ScienceDaily. www.sciencedaily.com/releases/2008/07/080710110752.htm (accessed October 25, 2014).

Share This



More Fossils & Ruins News

Saturday, October 25, 2014

Featured Research

from universities, journals, and other organizations


Featured Videos

from AP, Reuters, AFP, and other news services

Deep Sea 'mushroom' Could Be Early Branch on Tree of Life

Deep Sea 'mushroom' Could Be Early Branch on Tree of Life

Reuters - Innovations Video Online (Oct. 24, 2014) — Miniature deep sea animals discovered off the Australian coast almost three decades ago are puzzling scientists, who say the organisms have proved impossible to categorise. Academics at the Natural History of Denmark have appealed to the world scientific community for help, saying that further information on Dendrogramma enigmatica and Dendrogramma discoides could answer key evolutionary questions. Jim Drury has more. Video provided by Reuters
Powered by NewsLook.com
Fossil Treasures at Risk in Morocco Desert Town

Fossil Treasures at Risk in Morocco Desert Town

AFP (Oct. 23, 2014) — Hundreds of archeological jewels in and around the town of 30,000 people prompt geologists and archeologists to call the Erfoud area "the largest open air fossil museum in the world". Duration: 02:17 Video provided by AFP
Powered by NewsLook.com
Oldest Bone Ever Sequenced Shows Human/Neanderthal Mating

Oldest Bone Ever Sequenced Shows Human/Neanderthal Mating

Newsy (Oct. 23, 2014) — A 45,000-year-old thighbone is showing when humans and neanderthals may have first interbred and revealing details about our origins. Video provided by Newsy
Powered by NewsLook.com
Weird-Looking Dinosaur Solves 50-Year-Old Mystery

Weird-Looking Dinosaur Solves 50-Year-Old Mystery

Newsy (Oct. 23, 2014) — You've probably seen some weird-looking dinosaurs, but have you ever seen one this weird? It's worth a look. Video provided by Newsy
Powered by NewsLook.com

Search ScienceDaily

Number of stories in archives: 140,361

Find with keyword(s):
 
Enter a keyword or phrase to search ScienceDaily for related topics and research stories.

Save/Print:
Share:  

Breaking News:

Strange & Offbeat Stories

 

Plants & Animals

Earth & Climate

Fossils & Ruins

In Other News

... from NewsDaily.com

Science News

Health News

Environment News

Technology News



Save/Print:
Share:  

Free Subscriptions


Get the latest science news with ScienceDaily's free email newsletters, updated daily and weekly. Or view hourly updated newsfeeds in your RSS reader:

Get Social & Mobile


Keep up to date with the latest news from ScienceDaily via social networks and mobile apps:

Have Feedback?


Tell us what you think of ScienceDaily -- we welcome both positive and negative comments. Have any problems using the site? Questions?
Mobile iPhone Android Web
Follow Facebook Twitter Google+
Subscribe RSS Feeds Email Newsletters
Latest Headlines Health & Medicine Mind & Brain Space & Time Matter & Energy Computers & Math Plants & Animals Earth & Climate Fossils & Ruins