Facial recognition is alive and flourishing. It’s used in many broad areas, including social networking, photo editing, security, law enforcement, casinos, and in odd places that you might not expect. For example, the dating website FindYourFaceMate.com based matchmaking around the principle that people with similar facial features are attracted to each other, using facial recognition to match user photos, and DoggelGanger.com matches potential dog owners with canines that look like them. Face recognition cameras scanned all the fans walking through the turnstiles at Super Bowl XXXV, now referred to as the Snooper Bowl, running the scans against a database of criminal mugshots. That was a decade ago, when the internet was still in its relative childhood. We’re in an age now when Facebook collects 100-page dossiers on all of us, when ad networks track everything we do online, when companies buy and sell our contact information: the street we grew up on, the names of our family members, aerial shots of our homes.

Companies give two main reasons for using facial recognition technology: it helps with security, and it makes photo editing and sharing easier. On the security side, law enforcement officials have argued that facial recognition can help find missing people, identify criminals in a crowd, preempt terrorists from boarding planes with fake passports. It’s also used for private security in casinos to identify card counters and kick them out before they can win too much. Casinos also say their systems identify people with gambling addictions who’ve asked casinos to forcibly remove them if they can’t stop themselves. Even supermarket security uses facial recognition: one grocery chain in the UK uses facial recognition to stop underage customers from buying alcohol.

On the photo sharing side, facial recognition can scan albums for faces and either suggest tags or automatically tag people. You’ll already find it in Apple’s iPhoto, Google’s Picasaweb, Microsoft’s Windows Live Photo Gallery, and other photo editors. It also collects information on different people’s faces through existing tags: the more tags, angles, lighting types, hairstyles, and other details in your photos, the better the software’s ability to pick you out in other photos. It’s one thing to confine this technology to the photos on your own computer, but things get more complicated when the internet gets involved.

So the day will never far away when in each and every thing such techniques can be applied right from booting up of personal computer with starting of car