The objective of this module is to capture the facial features necessary to recognise an employee so that they can be identified correctly while capturing their attendance.
In this blog, we will look at the facial recognition system and understand its advantages and disadvantages.
Facial Recognition System
A Facial Recognition System is a technology capable of matching a human face from a digital image against a database of faces, typically employed to authenticate users through ID verification services. It works by pinpointing and measuring various facial features from a given image.
Although the accuracy of facial recognition systems as biometric technology is lower than iris recognition and fingerprint recognition, it is widely adopted due to its contactless procedure.
Facial recognition systems attempt to identify a human face, a three-dimensional object, against appearance changes with lighting and facial expression based on its two-dimensional image and associated features.
Facial recognition has been deployed in advanced human-computer interactions and automatic indexing of images. While humans can recognise faces without much effort, face recognition is a challenging pattern recognition problem in computing.
Some face recognition algorithms identify facial features by extracting a ‘landmark’ or a characteristic from an image of the subject’s face.
For example, an algorithm may analyse the relative position, size or shape of the eyes, nose, cheekbones, jaw, etc. These features are then used to search for other images with matching attributes.
Other algorithms would normalise a gallery of face images and then compress the data, only saving the data in the image that is useful for face recognition.
The three-dimensional face recognition technique uses 3D sensors to capture information about the shape of a face. This information is then used to identify distinctive features on the surface of a face, such as the contour of the eye sockets, nose, and chin.
One advantage of 3D face recognition is that it is not affected by changes in lighting like other techniques. It can also identify a face from different angles, including a profile view.
Advantages and Disadvantages
Unlike other biometric techniques, face recognition may not be the most reliable and efficient. Quality measures are essential in facial recognition systems as large degrees of variations are possible in face images.
Factors such as illumination, expression, pose and noise during face capture can affect the performance of facial recognition systems. Among all biometric systems, facial recognition has the highest false acceptance and rejection rates; thus, questions have been raised on the effectiveness of face recognition software in railway and airport security cases.
- Better security
- Easy integration
- Automated identification
- Huge storage requirement
- Vulnerable detection
- Potential privacy issues
The facial recognition system is an essential part of Pocket HRMS as it is used to mark employees’ attendance. It has the perfect balance between the required security and the ease of implementation and usage.
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