Remembering your password may be a thing of the past if scientists have their way.

It has been scientifically proven that everyone in the world looks at things differently. Previous research has shown, when observing an image, people will move their eyes in different sequences from one another. Knowing this, Oleg Komogortsev, a computer scientist at Texas State University-San Marco, is currently researching a password system that can identify people by the way they blink their eyes.

According to Komogortsev, scientists are pioneering new ways to identify people other than just fingerprints. Many of these new high-tech advancements also include a new way to signing into smartphones, tablets and computer/mobile devices.

Though Komogortsev's research is in its preliminary stages and will take years of work before the general population has access to this new security system, he believes eye movements could be part of the next generation.

Prior studies have identified criminals can easily manipulate eye scanners with printed contacts or by holding up high-quality printouts of the correct person's eye.

Thus far, Komogortsev's system records the eye movement, as well as analyzing two specific features. The system first measures the times when people linger their gaze over a point on a screen. The other feature measures the movements the eye makes when it flies between points. His system monitors the path the eye takes and its fixations along the way.

Komogortsev hopes that one day this new system will be beneficial for biometrics during crime solving, for border security as well as a password system for technological devices.

He told Tech News Daily, an eye scanner may also be able to identify if someone is emotionally distressed. "Do we want to accept people into, let's say, some secure facility, if they are emotionally unstable?" Komogortsev asked rhetorically. "You are able not only to identify the person, but also to talk about his emotional state."

To date, India is one of the few countries that is currently identifying its citizens through digital identification such as eye scanners.