AIMC Topic: Dermatoglyphics

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A Robust and Fast Computation Touchless Palm Print Recognition System Using LHEAT and the IFkNCN Classifier.

Computational intelligence and neuroscience
Mobile implementation is a current trend in biometric design. This paper proposes a new approach to palm print recognition, in which smart phones are used to capture palm print images at a distance. A touchless system was developed because of public ...

A support vector machine approach for truncated fingerprint image detection from sweeping fingerprint sensors.

Sensors (Basel, Switzerland)
A sweeping fingerprint sensor converts fingerprints on a row by row basis through image reconstruction techniques. However, a built fingerprint image might appear to be truncated and distorted when the finger was swept across a fingerprint sensor at ...

Automatic algorithm for the characterization of sweat ducts in a three-dimensional fingerprint.

Optics express
In this study, an automatic algorithm has been presented based on a convolutional neural network (CNN) employing U-net. An ellipsoid and an ellipse were applied for approximation of a three-dimensional sweat duct and en face sweat pore at the differe...

Multiple sensors-based kernel machine learning in smart environment.

The Review of scientific instruments
Sensor-based monitoring systems use multiple sensors to identify high-level information based on the events that take place in a monitored environment. Identification and health care are important tasks in the smart environment. This paper presents a...

Developing a multimodal biometric authentication system using soft computing methods.

Methods in molecular biology (Clifton, N.J.)
Robust personal authentication is becoming ever more important in computer-based applications. Among a variety of methods, biometric offers several advantages, mainly in embedded system applications. Hard and soft multi-biometric, combined with hard ...