- 标题
- 摘要
- 关键词
- 实验方案
- 产品
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An Effective Palmprint Recognition Approach for Visible and Multispectral Sensor Images
摘要： Among several palmprint feature extraction methods the HOG-based method is attractive and performs well against changes in illumination and shadowing of palmprint images. However, it still lacks the robustness to extract the palmprint features at different rotation angles. To solve this problem, this paper presents a hybrid feature extraction method, named HOG-SGF that combines the histogram of oriented gradients (HOG) with a steerable Gaussian filter (SGF) to develop an effective palmprint recognition approach. The approach starts by processing all palmprint images by David Zhang’s method to segment only the region of interests. Next, we extracted palmprint features based on the hybrid HOG-SGF feature extraction method. Then, an optimized auto-encoder (AE) was utilized to reduce the dimensionality of the extracted features. Finally, a fast and robust regularized extreme learning machine (RELM) was applied for the classification task. In the evaluation phase of the proposed approach, a number of experiments were conducted on three publicly available palmprint databases, namely MS-PolyU of multispectral palmprint images and CASIA and Tongji of contactless palmprint images. Experimentally, the results reveal that the proposed approach outperforms the existing state-of-the-art approaches even when a small number of training samples are used.
关键词： auto-encoder,regularized extreme learning machine,security,HOG-SGF feature extraction,visible and multispectral palmprint images
更新于2025-09-23 15:22:29
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Masked SIFT with Align-Based Refinement for Contactless Palmprint Recognition
摘要： Contactless palmprint is considered more user convenient than other biometrics due to its acquisition simplicity and less-private nature. Many challenges arise which affect the performance of common contact-based methods when applied to contactless environment. For example, pose and illumination variations affect the layout and visibility of palm lines. This paper proposes a SIFT-based method with three main modifications from the traditional SIFT. First, the palm regions with no significant lines/wrinkles are masked out to reduce the false features. A region with multi lines are then described by multi descriptors rather than a single one. Second, instead of comparing all query keypoints with all target ones, only those with small rotation difference are matched together. This speed-up the comparison process and enhance the accuracy, compared with SIFT, by reducing the wrong matches. Third, an align-based refinement is applied to filter out the incorrect matches. The method is tested on three contactless hand databases; IITD, GPDS and Sfax-Miracl. It achieves a verification equal error rate of 0.72%, 0.84% and 1.14% and a correct identification rate of 98.9%, 99% and 98.9% on each database, respectively. These results are significantly better than the state-of-art methods on same databases by 1.9% for verification and 3.2% for identification.
关键词： SIFT,Contactless palmprint,Biometrics,MaskedSIFT,Align-Based Refinement,Selective Matching
更新于2025-09-10 09:29:36
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Person Recognition Using 3-D Palmprint Data Based on Full-Field Sinusoidal Fringe Projection
摘要： Palmprint-based biometrics has been widely studied for human recognition. However, for feature extraction and matching, most of the current systems use a 2-D image, which can be easily forged. As depth information is included, 3-D palmprints are more competitive in anticounterfeiting. This paper presents a novel person recognition method using 3-D palmprint data. The full-field sinusoidal fringe projection technique is employed to collect 3-D palmprint data remotely and quickly, from which the orientation feature of the mean curvature image is extracted through a revised Gabor filter. An effective feature matching strategy called the binary code list is proposed for classification. Using the developed capture system, a 3-D palmprint database is established, and verification and identification experiments are performed. The PolyU 3-D palmprint database is also used to evaluate the performance of the proposed recognition method. Compared with traditional single-mode feature-based 3-D palmprint recognition methods, the proposed method is more accurate, efficient, and faster.
关键词： person recognition,binary code list,3-D palmprint,Gabor filter,fringe projection,mean curvature image (MCI)
更新于2025-09-09 09:28:46