As the world moves from machine-based identification to fully-secured software-based authorization, it has become imperative to include human touch into every technology. No matter how automated a particular technology might sound like, the deficit of human touch makes it less viable. One of the most sophisticated technologies that require a humanizing touch is biometric face recognition system.
Elements of humanizing
Engineers are researching new spectrum to test the viability of the humanized biometric face recognition system. The increasing relevance of social media, mobile app ecommerce and online payment security have all converged at the way an individual is authorized to use, extract or edit data. Whether the information is relevant to the person or not, the biometric face recognition system now requires extensive enforcement of compliance and government regulations like never before.
The elements of humanizing in a biometric face recognition system are:
- Source of information
- Assessment software
Once these factors are defined, the boundaries of integrating humanizing elements become easier.
Features of Humanized face recognition
1 Multiple face detection
Does the biometric face recognition system accommodate more than one face? What if you have to identify one particular face from a mob or group of people! Humanized features in the system can definitely pick the face you are looking for with 99% accuracy.
2 Eye zone extraction
Biometric face recognition system more or less use key facial contours to detect a face from existing template. The eye zone extraction is a revolutionary technology that analyses the depth of jaw, ear to ear length, forehead contour, nose angles and chin contour.
3 Face detection in color and in monochrome
Biometric face recognition system in controlled background is fairly easy to manage. The challenge becomes harder when you have more diverse backgrounds. In natural light, the face detection becomes difficult. New age humanized biometric face recognition apparatus have in-built color adjustment boundaries that work with all kinds of complexion, illumination and background lighting.
4 Real-time face matching
Humanized face recognition algorithm use the Edge Orientation Matching technique for real time detection. Perfect for capturing local image, the technique reduces the grey level that often erupts in the matching profile as noise. Noise in the face recognition is not expected as it amounts to error in accurate detection.
For a real time face recognition, face matching is done by capturing the image from different angles.
5 Vantage points
Irrespective of physical barriers like beard, make up, glasses and even a mask, the biometric face recognition system with humanized elements can detect the contours accurately to up to 99%. It is used as a vantage point in border security systems, tourist detection systems and smart phone app authorizations.
Higher the number of vantage points, greater is the degree of humanization. Humanized biometrics offer flexible integration in real-time monitoring, live camera action and video formatting platforms.
In a nut shell
Humanized elements enable the biometric system to work in tandem with fingerprint scanning software, iris recognition, voice identification, skin texture analysis and gesture recognition. While the applications are numerous, humanizing a technology involves erection and adherence towards anti-fraud protocols.