Famous Faces in Art May be Revealed « Passing Through . . . .


Famous Faces in Art May be Revealed « Passing Through . . . ..

Californian university project will use facial recognition software to identify subjects of paintings

vermeer pearl earring

Detail from Jan Vermeer’s Girl With A Pearl Earring. Can forensic science help us find out who she was? Photograph: Corbis

A Californian university has won funding to use advanced facial recognition technology to try to solve the mysteries of some of the world’s most famous works of art.

Professor Conrad Rudolph said the idea for the experiment came from watching news and detective shows such as CSI which had a constant theme of using advanced computers to recognise unknown faces from murder victims to wanted criminals.

Rudolph, professor of medieval art history at the University of Californiaat Riverside, realised he might be able to apply that cutting-edge forensic science to some of the oldest mysteries in art: identifying the real people in paintings such as Vermeer’s Girl with a Pearl Earring,Hals’s The Laughing Cavalier or thousands of other portraits and busts where the identity of the subject has been lost. Work on the project should begin within a month or so.

Police and forensic scientists can use facial recognition software that identifies individuals by measuring certain key features. For example, it might measure the distance between someone’s eyes or the gap between their mouth and their nose. In real life such measurements should be almost as unique as a fingerprint. Rudolph is hoping that the same might be true of portraiture, whether it is a sculpted bust or a painting.

To start with, his team will use facial recognition software on death masks of known individuals and then compare them to busts and portraits. If the software can find a match where Rudolph and his team know one exists, then it shows the technique works and can be used on unknown subjects to see if it can match them up with known identities.

The identity of the subjects of some of the most famous pictures in the world are unknown, including Girl with a Pearl Earring, the 17th-century portrait that inspired a film starring Scarlett Johansson. The Imagined Lives exhibition now running at London’s National Portrait Galleryfeatures portraits of 14 unknown subjects. Many of those paintings were once thought to be of historical figures such as Elizabeth I, but the identities are now disputed. The truth behind several paintings of Shakespeare – such as the Chandos portrait and the Cobbe portrait – has also been much disputed. It is possible facial recognition software could help solve these mysteries.

To be identified, the subject of a portrait would need to be matched to the identity of another named person in a separate picture. But Rudolph has some tricks up his sleeve. He believes that another forensic technique – whereby an “ageing” programme is run on a subject – could also help solve art mysteries. In fighting crime the software is usually used to produce “adult” pictures of children who have been missing for many years. But it could see if the Girl with a Pearl Earring had been painted again as a much older woman, whose identity might be known.

Away from the high-profile cases there are a legion of other unknown subjects that might be more easily identified. In many works from before the 19th century wealthy patrons often inserted themselves, their families or friends and business associates into crowd scenes.

Facial recognition technology could be used to identify some of these people from already known works and thus provide insight into personal, political and business relationships of the day. In other cases families in wealthy homes commissioned busts of relatives that were often sold when estates went bankrupt or families declined.

The new technique could identify many of these people by linking the busts to known portraits. “These are historical documents and they can teach us things. Works of art can show us political connections or business links. It opens up a whole new window into the past,” Rudolph said.

In order to transfer the process to analysing faces in works of art, some technical issues will need to be overcome. Portraits are in two dimensions and are also an artistic interpretation rather than a definitive likeness. In some cases, the painter might have simply not been very accurate, or attempted to flatter a subject, which would make recognition more difficult.

“It is different using this on art rather than an actual human,” said Rudolph, “But we are trying to test the limits of the technology now and then who knows what advances may happen in the future? This is a fast-moving field.”

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How Digital Forensics Can Help Reveal Online Fraud


How Digital Forensics Can Help Reveal Online Fraud – Yahoo! News.

As people live more of their lives online, digital forensics has begun to take on a larger role in investigations and court cases. Much of the evidence in the Rutgers bullying and suicide case, for example, includes records of the digital chatter between college students. On March 26, Facebook‘s lawyers asked for the dismissal of a case that claims Facebook CEO Mark Zuckerberg inked a deal in 2003 that gave a 50 percent claim to Facebook to a New York man named Paul Ceglia. A portion of Facebook’s evidence comes from digital digging on the emails between Zuckerberg and Ceglia, including some emails lawyers say Ceglia forged. How do forensic scientists gather digital evidence, and how do they detect instances of fraud?

Tracing digital breadcrumbs

Often, digital forensics scientists need to recover deleted data, said two practicing analysts InnovationNewsDaily contacted. It’s possible because when someone deletes a file on his hard drive, that data doesn’t actually disappear right away. Instead, the computer marks that place in its memory as available, but doesn’t overwrite what was there before until some new file gets saved to that same place. Data isn’t generally recoverable once its space is reallocated, however. “You can’t go back and find out what was there before, not generally,” said Gary Kessler, who owns a consulting company and works as an examiner for the Vermont Internet Crimes Against Children Task Force.

The files analysts do gather are marked with much more than whatever content the file’s creator typed in. Emails, in particular, contain a wealth of information hidden in what are called headers. Other major file types, such as PDFs, also have headers. “The headers track ‘When was it sent?’ and ‘What service was it sent through?’” said Andrew Hoog, an Illinois-based analyst who co-founded a security and computer forensics company, viaForensics. As an email journeys from its sender to its recipient, the servers it encounters along the way add their own information to the header. Digital forensic scientists dig through those headers and look for anomalies.

It’s difficult for criminals to recreate the entire trail of breadcrumbs an email leaves as it’s sent from one person to another. Many people who try to forge or alter emails will change details in one or two locations where the email is saved. But between the sender’s computer, the server the email is sent through and the receiver’s computer, an email may be saved in dozens of places, Hoog said. It’s a big red flag if an email exists on one person’s computer, but not anywhere else. Facebook’s lawyers say that the emails they contend Ceglia forged don’t exist on Harvard University’s servers.

Missing and encrypted data

Analysts don’t always have access to all the places an email or another file goes, however. The sender or recipient may have deleted the email and discarded his older computer. Usually, the server only keeps copies of emails for a couple months, though private companies may keep copies of their emails for longer. Generally, analysts don’t have all the data they need to trace an email’s entire journey, Kessler said. Then the message’s authenticity is more difficult to determine.

Barring missing data, most people’s devices are easy to peer into, for someone with the right tools and an authorized search warrant, Kessler said. He uses commercially available tools to scrape and sort through the data in a computer or smartphone. The Amazon.com description of a book Hoog authored about analyzing Apple devices says direct messages on Twitter, searches for directions entered in mapping apps, banking information from banking apps and some deleted text messages can all be recovered from smartphones.

On the other hand, a “technically aware, technically astute” person can encrypt data so it’s harder to reach for law enforcement, Kessler said. People can learn some techniques just by searching the Internet. “It’s not rocket science,” he said. In the case of encrypted or password-protected data, different jurisdictions in the U.S. have varying laws about whether people must turn over their passwords during an investigation.

The future of digital data sleuthing

Coming digital trends will have different effects on the different aspects of a digital investigator’s job.

If people save their data in “the cloud,” or remotely operated servers that offer more memory than individual computers, analysts won’t be able to recover files deleted there, Kessler said. The space that the cloud frees when someone deletes a file is quickly taken by someone else. On the other hand, larger memory devices mean space freed by deleted files is less likely to get overwritten soon. “I’ve got a thumb drive — a very large thumb drive, to be sure – where we found [deleted] pictures taken in 2008,” Kessler said.

Some newer digital data have very short life spans, which makes them difficult for investigators to find. Servers don’t save tweets for long. The contents of texts are difficult to verify if both the sender and recipient don’t have copies on their phones. Service providers only have evidence that a text was sent, not what it said.

And devices are tracking more and more data than ever. “The sheer quantity of information we’re finding, particularly on mobile devices, is a challenge,” Kessler said. There’s also debate in the field regarding how much people expect investigators can find in a mobile device and whether investigations are fair if they don’t align with people’s understanding of their devices. For example, smartphone owners may not be aware that a warrant that allows analysts to search a whole phone – depending on the case, analysts may only have access to some parts of a device’s memory – will unearth thousands of GPS points their phones have recorded over time.

But all that data doesn’t necessarily make investigations easier, Kessler said. Nondigital sleuthing is still needed to connect a device with a perpetuator. “It’s relatively easy to show that a computer has been used to, say, hack into a bank, but much harder to put my fingers on the keyboard of the computer,” he wrote in a later email to InnovationNewsDaily. “So, we’re gathering more information than ever before, but that information comes with its own complexity.”

This story was provided by InnovationNewsDaily, a sister site to LiveScience. You can follow InnovationNewsDaily staff writer Francie Diep on Twitter @franciediep. Follow InnovationNewsDaily on Twitter @News_Innovation, or on Facebook.

Marijuana DNA database can track pot’s origins – Technology & science – Science – msnbc.com


Marijuana DNA database can track pot’s origins – Technology & science – Science – msnbc.com.

There is a new tool in the ongoing war on drugs and it comes from a forensic scientist at the University of New Haven.

Heather Miller Coyle, an associate professor in the Henry C. Lee College of Criminal Justice and Forensic Sciences is setting up a national databank that will allow law enforcement to track marijuana DNA.

Most people probably didn’t even know marijuana had DNA, but Coyle, who specializes in forensic botany, has developed a new method for collecting the drug’s genetic fingerprint, making it easy for officers to collect the samples at crime scenes.

“Plant DNA is like the DNA found in humans — it retains its lifelong genetic profile,” says Coyle. “If one person has a suitcase of marijuana and another person has bags of it, we will be able to tell if it came from the same batch,” she said in a news release.

The DNA databank will be similar to one the FBI runs human DNA, the Combined DNA Index System or CODIS. CODIS allows DNA samples from crime scenes to be compared against a computerized database to help identify suspects.

The marijuana version will help law enforcement track where the drug came from and link it to criminal drug trafficking organizations in Mexico, growers in Canada or gangs in the U.S.

“Such a databank and signature mark would be a welcome tool for police and law enforcement agencies,” said Frank Limon, New Haven chief of police. “It’s probable, in some cases, that conspirators of the overall operation may escape investigation and prosecution. The link between production and distribution would aid us in establishing conspiracy cases against the whole operation — not just the dealers and buyers. This would effectively connect the dots to street level narcotics distribution.”

Coyle’s project has been funded with more than $100,000 from the National Marijuana Initiative and the National High Intensity Drug Trafficking Area Program. The groups work together with federal, state and local law enforcement in the detection, disruption and investigation into marijuana trafficking.