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Recognition Systems
Face Recognition In The Modern Security Menace
In the modern world, the security threats facing people are true and gruesome, from internal or external factors while the menace is one of the catchiest topics ever. This definitely makes everyone to be edgy when concerns of security arise, from a personal point of view to an organization's. This is where the issue of face recognition as a safety measure hits home. So many organizations are going for the distinct security devices that secure their own premises.
The sad thing is that there are retrogressive firms making use of manual systems for the tracking of visitors, employees or clients. These conventional systems do have many disadvantages such as lacking some accuracy while being time consuming and devoid of being a source of complete security as they promise. This however has made progressive organizations to come up with biometric solutions of security that make use of facial recognition, fingerprint readers and show-card type of devices among others.
Apart from face recognition systems, the other biometric security measures are full of problems facing them, such as buddy punching in fingerprint readers. Even in license plate recognition, facial type of recognitions are the ultimate solution for security issues while giving wholesome security solutions in comparison to any biometric solution of any kind. Facial biometric recognitions work through determining the sizes and locations of a human face in the heart of digital images. They use the face mostly, as a rather unique identifier and verifier as well as for error free and accurate security solutions.
While most security measures fail, the face recognition reigns supreme and give most firms using them the benefit of almost a hundred percent recognition of a human face. There are immense advantages associated with this security measure, something that has made many firms, companies and governments to strengthen their organizations. It is what is curbing road carnage and carelessness through license plate recognition.
One important advantage with facial recognition is that it is a technology very easy to make use of, and any ordinary individual can make use of it. Accuracy is perhaps its most important aspect, where biometric face recognition does offer very amicable accuracy more than any other type of biometric solution. With any environmental change, the facial biometric is even strong. It is also quite faster when it comes to detecting a human face. The normal speed of detection is 100,000 human faces per second. The solution is also reliable and trustworthy more than any other manual system you might be using today.
If you think about it, mass scanning is what makes any security solutions to be vigilant and effective in curbing criminals and criminal activity. While face recognitionare installed in multiplexes, airports, delicate companies and public companies, detecting the presence of a certain individual is aptly easy in any crowd. Other solutions of biometrics such as iris or fingerprints fail miserably when it comes to mass scanning, while chances for an error are very limited. It is a security detail worth making use of, not only for the authorities and airports but also for companies.
About the Author
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How do face recognition systems actually work?
First of all, the face is pixellated and contrasted to determine where the edges of the face and important features (eyes, nose) are located.
Next, the recognition algorithm uses this information to proceed. A simple algorithm would have the following steps.
1. Identify and scale distinguishing characteristics
These can be the roundness of the face, the position of the eyes, etc. The roundness can be determined by the uniformity of curvature of the face's outline. A higher roundness number would mean a rounder face. The eye position can be the vertical distance from the chin to the pupil.
2. Map and label the numerical values
A person's face may have a roundness of 2 (out of 10) and his eyes may be 8 inches above the tip of his chin. The value (2,8) can be stored in memory with that person's name associated with it.
3. Determine the importance of each trait
This is the tricky part. A person's face may match 'close enough' with several names in the database based on the measured traits. Conversely, multiple people can also match a particular stored data point. For instance, two people with traits (2.1,8) and (2,8.1) can match the (2,8) data point stored earlier. However, some traits are more important because they are more useful in distinguishing faces. In order to determine how important each trait is, the computer must 'learn' through neural network logic. After much trial and error (i.e. the 'learning' process which occurs as part of the development phase) the algorithm may determine that roundness is more important, and therefore the (2,8.1) person will be identified as being the true match.
FaceAccess: Portable Face Recognition - Cornell ECE 4760 Final Project