Subject Review: Feature Extraction Based on Palm Print (original) (raw)

A Comparative Analysis of Different Feature Extraction Techniques for Palm-print Images

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...

A Survey on Feature Extraction Techniques for Palmprint Identification

2014

I. INTRODUCTION Biometric based recognition systems have been receiving much attention in the field of personal identification/verification over the past decade. Based on the traits used for identification, biometrics is broadly classified into two categories such as behavioral and physiological as shown in fig. 1. In biometric system, physiological characteristics are considered to be more reliable compared to the behavioral characteristics. Palmprint comes under the physiological category. Palmprint focuses on the inner surface of a hand, its pattern of lines and the shape of the surface. Palmprint contains more amounts of detail in terms of principal lines, wrinkles and creases Fig.1: Biometric classifications

Feature Extraction Techniques for Palmprint Identification: A Survey

Abstract— Palmprint recognition has been investigated over the past decade. Palmprint recognition has five stages palmprint acquisition, pre-processing, feature extraction, enrolment (database) and matching. Due to rich information in palmprint it became a powerful means in person identification. The major approach for palmprint recognition is to extract feature vectors corresponding to individual palm image and to perform matching based on some distance metrics. Palmprint recognition is a challenging problem mainly due to low quality of pattern, large nonlinear distortion between different impression of same palm and large image size, which makes feature extraction and matching computationally demanding. In this paper we talk about the various approaches of palmprint recognition using matching pattern method.

A Review on Palmprint Recognition

2017

Biometrics is defined as the exceptional or individual physical properties or attributes of human body. These attributes are used to recognize each human. Any details of the person body which differs from another person to the other is used as unique biometrics data which serve to that’s person’s unique ID. Palmprint recognition being one of the important aspects of biometric technology. These palmprint recognition serves into four stages, palmprint image acquisition, preprocessing, feature extraction and matching. The major approach for palmprint recognition is to extract feature vector from each individual palm and to perform matching based on some distance metrics. This paper present a detailed review on palmprint recognition approaches.

A Survey on Palmprint-Based Biometric Recognition System

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.

IJERT-A Review Paper Based on Palmprint Recognition System

International Journal of Engineering Research and Technology (IJERT), 2014

https://www.ijert.org/a-review-paper-based-on-palmprint-recognition-system https://www.ijert.org/research/a-review-paper-based-on-palmprint-recognition-system-IJERTV3IS20846.pdf A biometric system is essentially a pattern recognition system which makes a personal identification by determining the authenticity of a specific physiological or behavioural characteristic possessed by the user. Palmprint recognition being one of the important aspects of biometric technology is one of the most reliable and successful identification methods. It has four stages, palmprint image acquisition, preprocessing, feature extraction and matching. Due to rich information in palmprint it became a powerful means in person identification. The major approach for palmprint recognition is to extract feature vectors corresponding to individual palm image and to perform matching based on some distance metrics. Researchers have proposed a variety of palmprint preprocessing, feature extraction and matching approaches. This paper presents a detailed review of palmprint recognition approaches.

Palm-Print Recognition

Journal of emerging technologies and innovative research, 2019

Palm print recognition has risen as a profoundly acknowledged biometric framework because of its simple acquisition and unwavering quality. Palm is the internal surface of hand among wrist and fingers. The inward surface of palm contains three flexion wrinkles, optional wrinkles, and edges for each finger. The flexion is additionally called as chief lines and auxiliary wrinkles are called wrinkles. Palm feature likewise incorporates particular focuses, edges, wrinkles, and delta, datum and particulars focuses. Palm features are remarkable for each person and have rich data that can be utilized for feature extraction. The palm lines and wrinkles are shaped during third and fifth month of the development of baby. An area of interest (ROI) is separated from the palm region for handling. Palm recognition process incorporates feature extraction (put away as layout in the database) coordinating (input question features are coordinated with put away features) and choice making (to acknowledge or dismiss the inquiry dependent on coordinate score). In this part a review of palm print recognition framework, handling stages and approaches is displayed.

Palm-Print Based Biometric Authentication Systems-A Review

2014

Palmprint is widely used in personal identification and authentication for a precise and robust recognition. Palmprint recognition has been reconnoitered over numerous years. During this instance of time, several different glitches related to palmprint recognition have been addressed. Furthermost of the studies has been done in palmprint recognition due to its stability, reliability and exclusivity. Furthermore it has been used for law enforcement, civil applications and access control applications. Researchers have proposed a variety of palmprint preprocessing, feature extraction and matching approaches. This paper deliberates about the number of investigation works introduced to overcome the difficulties confronted in each stage of palm print verification. Our study on palm print recognition focuses on verifying the palm print in different types of schemes involved.

Review on Identification Using Palm Print

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.

Survey of Palmprint Recognition

2012

A biometric system is essentially a pattern recognition system which makes a personal identification by determining the authenticity of a specific physiological or behavioral characteristic possessed by the user. Biometric has gained much attention in the security world recently. Many types of personal identification systems have been developed and palmprint verification is one of the emerging technologies because of its stable, unique characteristics, low-price capture device, fast execution speed also it provides a large area for feature extraction. Palmprint recognizes a person based on the principal lines, wrinkles and ridges on the surface of the palm. The recognition process consists of image acquisition, preprocessing, feature extraction, matching and result. The different techniques are used for the preprocessing, feature extraction, classifiers. The methods discussed are for the online palmprint recognition.