… ing biometric technology, palmprint recognition has attracted … for palmprint recognition,
especially for 2-D palmprint recogni… as the palmprint line and texture features in a low-resolution …

… in the security analysis of palmprint recognition systems [28]. … texture features are one of
the most discriminative features for palmprint recognition, it has been proved that not all texture …

… on four palmprint benchmarks including fourteen constrained and unconstrained palmprint
… and efficient in dealing with open-set palmprint recognition issue as compared to the state-of-…

… , palmprint biometric recognition concepts and also it compares the various palmprint
feature … Busch, Texture based features for robust palmprint recognition: a comparative study. …

… feature extractor, namely BIT, for palmprint recognition is proposed in this paper. BIT involves
… palmprint recognition by making use of techniques including principal line, coding, texture, …

… [12] are used to extract the texture content from iris and palmprint. The entropy of all the …
textural features are calculated. From the estimated features, six iris features and four palmprint …

… of palmprint and hence difficult to capture it. Frequency field features avoid the texture …
They implemented this palmprint recognition algorithm on multimedia chip OMAP3530. To …

… This research work presented a palmprint recognition system for mobile devices (Android).
A hand segmentation method for hand detection in complex background and uneven lighting …

… palmprint recognition and achieved good results. This article presented a new CNN model
for palmprint recognition. … texture features from palmprint images with ROI regions extracted. …