Motion invariant palm-print texture based biometric security

2019

There are certain biometric features through which a human can uniquely identified. Some of them are fingerprint, iris, face and palm print. Fingerprint based authentication is more prevalent than the others, but palm print is newly introduced feature through which a system can be introduced that can works like fingerprint authentication system. As the palm of a hand covers more area of skin which contains additional details for comparison and provide more accurate results. In some cases, like investigation of a criminal, use of palm print are more preferable than that of finger prints to maintain detailed database. Use of palm print enables the security system to cross check the identity of a criminal, even if he tries to stupefy the police authority by hiding his finger prints. Various systems are already developed to recognize palm prints and lots of techniques have been developed to extract the features of palm print. Few of them are Local Binary Pattern, Gabor filter, Weber’s L...

Advances in Computational Intelligence and Robotics

The automatic use of physiological or behavioral characteristics to determine or verify identity of individual's is regarded as biometrics. Fingerprints, Iris, Voice, Face, and palmprints are considered as physiological biometrics whereas voice and signature are behavioral biometrics. Palmprint recognition is one of the popular methods which have been investigated over last fifteen years. Palmprint have very large internal surface and contain several unique stable characteristic features used to identify individuals. Several palmprint recognition methods have been extensively studied. This chapter is an attempt to review current palmprint research, describing image acquisition, preprocessing palmprint feature extraction and matching, palmprint related fusion and techniques used for real time palmprint identification in large databases. Various palmprint recognition methods are compared.

Biometrics-based personal identification is a powerful security features in the technology era. Palm print is a reliable biometric that can be used for identity verification because it is stable and unique for every individual. The palm print acquired from a charge coupled device (CCD) based camera is preprocessed and the edge of the image is obtained. The palm prints are matched using the AND function and the verification process is based on whether a person is who he/she claims to be. Five hundred verifications were obtained and analyzed. The false acceptance rate (FAR) and false reject rate (FRR) values against different threshold values were plotted and the equal error rate (EER) was acquired. The system's EER is approximately 15% with the verification threshold of 23. Overall, the system has an accuracy of 87.4%.

Human palm print is a wide spreading biometric trait that has been used to detect an individual’s identity Palm print images of 94 individuals have been acquired using Scanning techniques. Images acquired by this technique are used for the identification of an individual by extracting principle lines as a feature of palm print images using Matlab. In this study an algorithm is proposed to compute and filter the first three principle lines of palm print images using Matlab that have been acquired using scanning technique. These characteristic features are used to estimate the identity of an individual. Experiments show that the principle lines from the palm prints can be a good source for any biometric security system.

Image processing is widely used in many applications like medical imaging, industrial manufacturing, entertainment and security system. The size of image is very large. Biometrics which use of human physiological characteristics for identifying an individual, now a widespread method of identification and authentication, uses several image processing techniques. Biometric computing offers an effective approach to identify personal identity by using individual's unique, reliable and stable behavioural characteristics. Biometric identification is a technology which describes the general procedure for identification and verification using feature extraction, storage and matching from the digitized image of biometric characters such as Finger Print, Face, Iris or Palm Print. In this paper we present a comparative study and analysis of some palm print feature extraction and identification methods.

Proceedings of the World Congress on …, 2011

Abstract—This paper presents an authentication system based on palmprint. The Region of interest (ROI) is extracted from the palmprint image. A tangent is drawn by finding the curves between fingers. The perpendicular bisector of this tangent divides the rectangular area enclosing ...

2012

Biometric technology is an efficient personal authentication and identification technique. The biometric identification system using human palm has been developed and presented in this paper. In this paper, a new approach for personal authentication using palm print images is discussed. The proposed methodology is divided into four steps: image acquisition by a regular webcam, image preprocessing for image normalization, segmentation for biometric extraction and human interpretation. Gray -Scale palm images are captured using a digital camera at a resolution of 640*480. The proposed system has been tested with different images. Experimental tests have proved that the proposed approach is not only robust but also quite efficient.

2019

This paper explains an effective approach for designing similarities of left and right palmprint along with the fused image of left and right palmprint through SPHIT(Set Partitioning in Hierarchical Trees) , PCA(Principle Component Analysis) & MDC. Palmprint is promising biometric feature for use in access control and forensic applications. However, for feature extraction and matching, most of present systems are making use of 2-D image, which can be easily forged rather than 3-D palmprints are more competitive in anticounterfeiting. In these 3-D images data is taken. It is than converted into 2-D images in preprocessed and fused. By this system, a 2-D palm print database is established, and verification identification experiments are performed. This method is more accurate, efficient,

In this advanced decade, automatic identification of individuals is a significant achievement due to the high demand of security system. Hence, individual recognition using biometrics data is leading in the field of image processing. Although biometrics data analysis using thumb impression and finger-prints are very popular since many years, sometimes it leads to false acceptance and rejection if any physical change occurs in the finger ridges. There may be a high risk of hacking the biometrics data which is now a big challenge for cyber security employees. This paper captures the palm-print images of individuals as referred biometrics data for individual recognition. The research work is based on one of the prior issue that is feature extraction to extract the features of palm-print image such as principle lines, textures, ridges and pores etc. For this, some of the feature extraction techniques such as Derivatives of Gaussian filter (DoG), Discrete Cosine Transform (DCT), Fast Fou...

Multibiometrics can provide higher identification accuracy than single biometrics, so it is more suitable for some real-world personal identification applications that need high-standard security. Among various biometrics technologies, palm print identification has received much attention because of its good performance. Biometric based authentication and recognition, the science of using physical or behavioral characteristic for identity verification is becoming a security principal in many areas. Their utilization as an authentication and recognition technology has become widespread from door access to electronic commerce. Security is a very important aspect in the biometric system itself. This paper provides an overview of palm print research, describing in capture devices, preprocessing, verification, palm print-related fusion and measures of security and for protecting users' privacy and palm print system, a sectional explaining the biometric recognition process.