Face ID recognition using eye ratios

Information Science Engineering

Importance of face recognition systems have speed up in the last few decades. A face recognition system is one of the biometric information processing. Applicability is easier and working range is larger than other biometric information processing, i.e., fingerprint, iris scanning, signature, etc. But it makes difficult or impossible to identify the face when a person is wearing a mask or a helmet. This makes face recognition a very difficult task since certain parts of the face are hidden. Hence the solution to this can be determined by using eye ratios. The first step is to discard the masked face region. Eye ratios are a method of face recognition that uses the relative size and shape of a person's eyes to identify them. Eye ratios refer to the distance between certain landmarks on the face, such as the distance between the inner corners of the eyes or the distance between the eyes and the nose, which are unique to everyone. By measuring these ratios, a computer can accurately identify a person, even if they are wearing a disguise. The eye ratios technique is based on the fact that human eyes are unique, and that the size and shape of the eyes can be used to accurately identify a person.

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