The raw images which are captured of the hand are not affected by the surface elements of the skin.
This includes grime, dirt, and scars.
Despite the lack of the richness of data, the accuracy rate of hand geometry recognition is ranked very high..
The devices use a simple concept of measuring and recording the length, width, thickness, and surface area of an individual's hand while guided on a plate (Figure 1).
Hand geometry systems use a camera to capture a silhouette image of the hand (Figure 2)..
Major advantages of hand geometry systems include simple imaging requirements (features can be extracted from low-resolution hand images), the ability to operate under harsh environmental conditions (immune to dirt on the hand and other external factors), and low data-storage requirements..
Hand geometry is a biometric that identifies users from the shape of their hands.
Hand geometry readers measure a user's palm and fingers along many dimensions including length, width, deviation, and angle and compare those measurements to measurements stored in a file..
Hand geometry is a biometric that identifies users from the shape of their hands.
Hand geometry readers measure a user's palm and fingers along many dimensions including length, width, deviation, and angle and compare those measurements to measurements stored in a file..
Hand geometry recognition systems are widely used for applications in physical access, attendance tracking, and personal verification..
Although hand geometry is not considered to be the most secure compared to other biometric points, there are some advantages to this method.
This includes:
• Pattern recognition technique have been used in classification and verification from Euclidean distance to neural network.
INTRODUCTION Hand geometry is a biometric that identifies users by the shape of their hands.
Hand geometry readers measure a user’s hand along many dimensions and compare those measurements to measurements stored in a file.
Hand geometry is a biometric that identifies users from the shape of their hands.
Hand geometry readers measure a user's palm and fingers along many dimensions including:
Hand geometry is the longest implemented biometric modality while fingerprint is the most developed biometric method.
Fingerprint recognition is now enjoying widespread acceptance and has shrunken the market share of hand geometry recognition, despite that, they do deserve a head to head comparison.
