Biometric authentication systems operating in real world environments using a single modality are found to be insecure and unreliable due to numerous limitations. Multimodal biometric systems have better accuracy and reliability due to the use of multiple biometric traits to authenticate a claimed identity or perform identification. In this paper a novel method for person identification using m...

A new method of extracting palmprint features is presented in this report. Since palmprint images have many creases which are organized like ridges, ordinary ngerprint feature extraction algorithms are unable to extract ridges. Consequently, the goal of this research is to construct a new feature extraction method which can extract ridges under these conditions. At rst, the original palmprint i...

Compared with the traditional verification schemes, the cancelability and re-issueability of biometric system is the inherent shortages. Therefore, problem of palmprint template security must be considered and solved in a real biometric system. To handle these problems, a hybrid palprint template protection scheme using random measure and permutations is proposed in this paper. Firstly, the Gab...

The survey on palmprint and fingerprint has been investigated over many years. Fingerprint is a popular biometric identification technology and studies are still going on in the palmprint identification. But researches based on the multimodal biometric that combines palmprint and fingerprint technology, which will provide better security and robustness comparing to the stand alone model have no...

In this paper, Harris Corner Detector is proposed as a corner detection technique to extract palmprint features in the form of corners. Here, hamming distance similarity measurement using sliding window method is used as a feature matching method for the corners detected. The aim of using hamming distance method for corner matching is the non-dependency of the method with the number of corners ...

Palmprint identification refers to searching in a database for the palmprint template, which is from the same palm as a given palmprint input. The identification process involves preprocessing, feature extraction, feature matching and decision-making. As a key step in the process, in this paper, we propose a new feature extraction method by converting a palmprint image from a spatial domain to ...

Palmprint have some basic features. These basic features are unique and unchangeable in one’s life. It is constant and not easy to fake. A palmprint contains three major lines that are called principal line, secondary line, and wrinkles. These lines give rich information for personal verification and have robust discernment. In this paper a new method proposed for palmprint verification. Shock ...

Biometrics technology is rapidly progressing and offers attractive opportunities. In recent years, biometric authentication has grown in popularity as a means of personal identification in ATM authentication systems. The prominent biometric methods that may be used for authentication include fingerprint, palmprint, handprint, face recognition, speech recognition, dental and eye biometrics. In t...

This paper presents an intra-modal fusion environment to integrate multiple raw palm images at low level. Fusion of palmprint instances is performed by wavelet transform and decomposition. To capture the palm characteristics, the fused image is convolved with Gabor wavelet transform. The Gabor wavelet based feature representation reflects very high dimensional space. To reduce the high dimensio...

In this paper we present a new scheme for Palmprint verification. The proposed method can be viewed as a combination of Gaussian Mixture Model (GMM) followed by Independent Component Analysis (ICA I and ICA II) applied directly on the pixels. This approach follows the path opened by previous works making use of GMM followed by Principal Component Analysis (PCA) and Linear Discriminate Analysis ...