The Future of Face Recognition

Introduction

With the rapid growth of technology, most of the people want to access or gain something with ease. For years, researchers have been studying biometric scanning and object recognition that would help us in a lot of ways when it comes to user authentication. And one of the popular research about biometric scanning like fingerprint and iris scanners is the face recognition. By just showing our faces to the camera, the computer can identify a person uniquely and access their information. This technology can also be used in different ways, not only for authentication, but also for entertainment and many more that would be discussed in this article.

In this article, we will be discussing how the face recognition works, the uses of this technology, and the future it holds for us.

Contents:

In this article, we will be tackling Text Analytics, Natural Language Processing and its connection to Artificial Intelligence.

Introduction
How it works
Uses of technology
The future of Face Recognition
Reference

How it works

Everyone has a unique face, even so called “Identical twins” doesn’t really have the same face structure. According to an article “Face Recognition: Technology Overview”, each person’s face has approximately 80 nodal points, some of the points being measured by this technology are:

Distance between the eyes
Width of the nose
Depth of the eye sockets
The shape of the cheekbones
The length of the jaw line

The following four-stage process illustrates how the system identifies a human face.

Capture
A physical or behavioral sample is captured by the system during enrollment of new faces to be stored in the database or data storage.

Extraction
Unique data (as mentioned above like width of nose e.g) are extracted from the sample and a template is created

Comparison
The template is then compared with a new sample.

Matching
The system then decides if the features extracted from the new sample are matching or not.

Uses of the technology

There is a growing list of ways where face recognition can help you improve your life. According to an article “The future of face recognition: more than meets the eyes” and techguruit.com, face recognition can used for:

Authentication – Instead of just having passwords/pins (which can be stolen from you) for authentication, face recognition can be used for authenticating user’s identification with the use of face biometrics.
Accessibility – You can access your identification anywhere and anytime with just the use of a camera, computer and/or internet.
Security – Face recognition is a great security add-on on establishments, instead of just tapping an identification card (ID) to enter a facility, there will be another security layer which would require your face to authenticate if you are verified person/user on the database.
Law enforcement – Face recognition technology can assist law enforcement agencies to identify suspects or find missing persons. Faces in photographs or videos, as well as face sketches, can be compared to image databases of known criminals and provide investigators with the most similar faces (candidate list). Face recognition is a highly efficient and accurate tool supporting investigation processes.
Entertainment – Nowadays a lot of applications, especially on social media, uses face recognition for entertainment. Snapchat is one great example of them, who uses this technology to customize your face and post it on social media.

The Future of Face Recognition

Image processing is indeed a fast growing technology for the computer world, especially in face recognition. Imagine a robot capable of accessing a person’s information through detection of face patrolling around a vicinity, wouldn’t that be cool? Many researchers are developing this technology to be used for authentication and security. It also being applied in airports, banks, offices, schools and other places. In my opinion, about 2 years from now, the accuracy of face recognition will increase greatly making it usable for establishments with high security requirement.

Indeed, technology has come very far and has reached milestones of improvements. Who knows any year from now we might be just sitting on our chairs and letting computers handle everything.

References

Artificial Intelligence: Text ...

AI, Robotics, and Automation s...

AI-The Future of Face Recognition