An Advanced Latent Fingerprint Matching by Using Level Three Features
Journal Title: International Journal for Research in Applied Science and Engineering Technology (IJRASET) - Year 2017, Vol 5, Issue 3
Abstract
Latent fingerprint identification is of critical importance in forensic applications. Fingerprint features are generally described at three different levels, namely, Level 1 (ridge flow), Level 2 (minutiae points) and Level 3 (pores, dots and ridge shape, etc.). Current Automated Fingerprint Identification Systems (AFIS) generally rely only on a subset of Level 1 and Level 2 features (minutiae, core & delta) for matching. On the other hand, latent print examiners frequently take advantage of a much richer set of features naturally occurring in fingerprints. It is believed that this difference may be one of the reasons for the superior performance of fingerprint examiners over AFIS, particularly in case of difficult latent matches. Fingerprint features, other than minutiae, core & delta, are also referred to as the extended feature set (EFS). The goal of this study is to i) develop algorithms for encoding and matching extended features, ii) develop fusion algorithms to combine extended features with minutiae information to improve fingerprint matching accuracy, and iii) understand the contributions of various extended features in latent fingerprint matching. Based on extensive experiments, the following findings are observed: i) almost all the extended features lead to some improvement in latent matching accuracy, ii) extended features at higher level are more effective in improving latent matching accuracy than those at lower level, iii) high image resolution (at least 1000 ppi) is necessary but not sufficient for reliably capturing Level 3 features.
Authors and Affiliations
B. Raja Rao, Dr. E. V. Krishna Rao
Keywords
Related Articles
- EP ID EP23211
- DOI http://doi.org/10.22214/ijraset.2017.3014
- Views 268
- Downloads 6
Object Based Unsupervised Classification of VHR Panchromatic and Multispectral Satellite Images by Combining the HDP, IBP and K-Mean on Multiple Scenes
In this paper Bayesian hierarchical model (HDP_IBPs) to classify very high resolution panchromatic as well as multispectral satellite images in an unsupervised way, in which the hierarchical Dirichlet process (HDP) and...
Numerical Modeling and Analysis of Hydro Turbine Draft Tube with Different Geometry Using Fluent
the efficiency of a hydraulic reaction turbine is significantly affected by the performance of its draft tube. The shape and velocity distribution at the inlet are, in next turn, two main factors that affects the perfor...
slugCalculating Transmission Coefficient of Double Triangular Quantum Well under Electric Field for Different Structural Parameters
Transmission coefficient of double quantum well triple barrier structure is numerically computed for triangular geometries. Propagation matrix method (PMM) is used for computation purpose over GaAs/Al...
Design of advanced embedded system by using WSN for Industrial automated systems
A sensor interface device is essential for sensor data collection of industrial wireless sensor networks (WSN) in IoT environments. However, the current connect number, sampling rate, and signal types of sensors are gen...
A Systolic Hardware Architecture of Montgomery Modular Multiplication for Public Key Cryptosystems
The Montgomery modular multiplication is mostly used in the field public-key cryptosystems. This work presents how to relax the data dependency in conventional word-based algorithms to increase the possibility of reusin...