In this paper, we propose and evaluate palmprint recognition method based on local Haralick features. The Haralick features are extracted from overlapping square subimages of a palmprint region of interest (ROI). A biometric template is composed of N m-component feature vectors, where N is the total number of overlapping subimages, and m is the number of local Haralick features per subimage in ...

Palmprint recognition being one of the important aspects of biometric technology is one of the most reliable and successful identification methods. Palmprint is an important complement and reliable biometric that can be used for identity verification because it is stable and unique for every individual. The procedure of implementation is divided into two phases, training phase and testing phase...

Two dimensional Fisher linear discriminant analysis(2D-FLDA) is a very effective method for palmprint recognition. However, it cannot be used when each object has only one training sample because the within-class scatter matrices cannot be calculated. In this paper, a novel method is developed to solve this problem. Using the block segmentation, wavelet transform, and sampling methods, a new tr...

Biometric technologies, including fingerprint, face, iris, and palmprint recognition, are drawing increasing attention in both academic research and industrial applications.1 Palmprint identification uses the inner surface of the palm to distinguish between people2 and includes among its many merits stable features, a high level of accuracy, and user-friendliness. To the best of our knowledge, ...

Palmprint has become a popular biometric modality; however, palmprint recognition not been conducted in video media. Video (VPR) some advantages that are absent image recognition. In VPR, the registration and can be automatically implemented without users’ manual manipulation. A good-quality selected from frames or generated fusion of multiple frames. VPR contactless mode overcomes several prob...

Recently, biometric palmprint has received wide attention from researchers. It is well-known for several advantages such as stable line features, low-resolution imaging, low-cost capturing device, and user-friendly. In this paper, an automated scanner-based palmprint recognition system is proposed. The system automatically captures and aligns the palmprint images for further processing. Several...

The evidential value of palmprints in law enforcement is clear from the following statistic: 25% of all crime scenes contain only latent palmprints [1] and 30% of the latents recovered from crime scenes are of palms [2]. In forensic applications, the palmprint image resolution is 500 pixels per inch (ppi) [5] and the matching is based on friction ridges, flexion creases and minutiae points. Pal...

We develop an improved LPP method called scatter-difference discriminant locality preserving projections (SDLPP) for palmprint recognition. SDLPP has better classification capability which benefits from discriminant information obtained by maximizing the difference of between-class separability and within-class similarity. SDLPP avoids the singularity problem for the high-dimensional data matri...

Biometrics based personal identification is regarded as an effective method for automatically recognizing a person’s identity with confidence. A multimodal biometric system consolidates the evidence presented by multiple biometric sources and typically better recognition performance compare to systems based on a single biometric modality. This paper proposes a novel multipartite algorithm for s...