… to recognized the image, but this method has to use two kinds of classifier. In this paper,
weighted fusion … respectively; secondly, different weighted coefficients are multiplied to these two …

… palmprint recognition using a weighted fusion scheme. This fusion scheme exploits the
weighted sum of the scores of these two methods to classify the palmprint. The proposed method …

… The focus of this paper is Face and Palmprint modality. The experimentation is done on some
… as sum of both weights is equal to 1. 1st modality in our case is face and 2nd is palmprint. …

… For the single sample biometrics recognition problem, we need to … on a lower level fusion,
that is, the feature level fusion. We extract … weighting strategy to conduct feature level fusion. …

… recognize a subject with high confidence. This paper presents a novel multispectral palmprint
recognition … less sensor (2) novel image fusion scheme based on dependency measure (3) …

… The objective of this paper is to compare performances of palmprint recognition under …
a multispectral palmprint recognition system using fused images which combines palmprint …

… less recognition time. Then, in fine recognition, an adaptive weighted fusion of palmprint
and … that are in doubt in the coarse recognition, resulting in a more discriminative capacities. …

… palmprint recognition system by means of featurelevel image registration and pixel-level
fusion … different spectral images in one sequence and fusion to combine images from multiple …

… This paper gave an overview of the fingerprint and palm print recognition . We highlighted
in details the fingerprint and palm separately. We also referred to the image acquisition stage , …

… and 3D palmprint images together to get a new feature of the palm in the complex feature
space. In this phase, we propose an adaptive fusion method to balance 2D and 3D palmprint …