Recently, a novel matching strategy based on regional fusion for high resolution palmprint
recognition arises for both forensic and civil applications, under the concept of different …

Palmprint segmentation is the process of correcting distortions and putting all palmprints
under the same coordinate system so that the expected area of each palmprint can be …

The segmentation is the first and crucial step of the automatic forensic palm print system
(AFPS) and other image process system. However, it is still manually cut in AFPS in the …

In this paper, an offline palmprint image is divided into four components: blank regions,
knuckle-finger regions, high quality palm regions and unrecoverable low quality palm …

Offline palmprint plays an important role in personal recognition, especially in the area of
criminal investigation. Location of Special Areas is significant to offline palmprint …

The spectral minutiae representation (SMC) has been recently proposed as a novel method
to minutiae‐based fingerprint recognition, which is invariant to minutiae translation and …

Palmprint segmentation, which involves extracting a suitable part of a palmprint for feature
extraction and matching, provides the basis for palmprint identification. Segmentation aims …

Palmprint segmentation is an important task for palmprint recognition. By the segmentation
operation, an expected area of each palmprint can be extracted for the future feature …

In the process of thenar palmprint objective and quantitative recognition, the locating and
segmentation of thanar palmprint is very important. For the specificity of the region that we …

Capturing high quality palmprint images in a very short time period is a fundamental step in
palmprint research. While a palmprint scanner capable of this function is especially …