As an advanced research topic in biometrics techniques, palmprint recognition has been
fully studied for more than 20 years. Due to its superiority to other biological features, ie high …

Existing roughness measurement approaches based on machine vision cannot accurately
measure irregular components with complex shapes, such as helical gears. Owing to the …

Active contour model has been widely used over the past decade in image segmentation.
For parametric active contour model, it is always used to segment objects because of its …

This paper proposes a new fuzzy approach for the segmentation of images. L-interval-
valued intuitionistic fuzzy sets (IVIFSs) are constructed from two L-fuzzy sets that …

The active contour model is widely used to segment images. For the classical magnetostatic
active contour (MAC) model, the magnetic field is computed based on the detected points by …

Based on big data, this paper starts from the behavior data of users on social media, and
studies and explores the core issues of user modeling under personalized services …

In this paper, a two-phase palmprint recognition approach is proposed based on statistical
features and wide principal line image features through dynamic region of interest (ROI) …

In order to solve issues including invalid palmprint image, the acquisition of blurred image
and palm deformation in non-contact palmprint acquisition, which will result in degradation …

Extracting region of interest (ROI) from palmprint is the important and key link of palmprint
recognition. The quality of ROI directly determines the recognition rate. We propose a new …