… palmprint images can be counterfeited easily and much 3-D … a 3-D palmprint recognition
approach by exploiting the 3-D … The structured light imaging is used to acquire the 3-D palmprint …

… method for 2D and 3D palmprint recognition is proposed by using a deep learning algorithm.
Some main contributions were given, we adapted the using of the 3D information as a …

… 2D palmprint recognition systems, lately 3D palmprint-based personal recognition methods
… capture the geometry of local regions in a 3D palmprint on which local binary pattern (LBP) …

… palmprint systems. This paper presents a simple yet efficient scheme for 3-D palmprint
recognition… After calculating and enhancing the mean-curvature image of the 3-D palmprint data, …

… for over ten years, and various methods have been proposed for 3-D palmprint recognition.
… for 3-D palmprint recognition over the past decade. First, we introduce the 3-D palmprint data …

… technique for palmprint based biometrics: 3D palmprint recognition. First a structuredlight
based 3D palmprint data acquisition system was developed. After the 3D palmprint image was …

… a novel 3D palmprint recognition algorithm by combining 3D palmprint features using DS
fusion theory. Firstly, the structured light imaging is used to acquire the 3D palmprint data. …

… 3-D palmprint recognition. Table I summarizes the comparative studies of the representative
3-D palmprint recognition … In general, a 2-D gray-level palmprint image, such as MCI, can be …

… in both palmprint image and face image are important for recognition, we perform 2D and 3D
palmprint recognition … to recognize the high-dimensional palmprint images because of the …

… better person recognition performance. In this paper, the 2D and 3D information of palmprint
are … data of the two modalities (2D and 3D palmprint) or from their rotation invariant variance …