Sentence examples for features minutiae from inspiring English sources

Most fingerprint recognition systems use Level 1 characteristics (ridge flow, orientation, and frequency) and Level 2 features (minutiae points) to recognize individuals.

We propose a feedforward of the original grayscale image data to a feature (minutiae) verification stage in the context of a minutiae-based fingerprint verification system.

Poor quality fingerprint images can lead to incorrect or spurious feature (minutia) detection (illustrated in Figure8) and thereby degrading the performance of a fingerprint recognition system.

Most of the proposed methods used for fingerprint verification are based on local visible features called minutiae.

Level 2 features called minutiae refer to the shape, direction, and orientation of the trait that forms the friction ridges, and is used mainly for the purpose of establishing identity (Langenburg 2004; Nickell and Fischer 1999; Bennett and Perumal 2011).

These two cancelable templates are fused using the feature level fusion [20,36] of modified minutiae features.

Oinonen et al. [18] proposed a novel method for verification based on minutiae features.

The proposed matcher exploits the absolute minutiae features represented as a binary constraint graph.

In order to deal with low-quality fingerprint images, which introduce significant occlusion and clutter of minutiae features, we design a fitness function based on the local properties of each triplet of minutiae.

In the process of personal identification, the less frequency of appearance of the epidermal features such as minutiae in the population reflects their importance in the forensic context.

However, other features such as minutiae and epidermal ridge width (ridge density) have not been generally studied more in comparison to the feature mentioned above, despite being features of considerable significance due to their direct relevance in personal identification.