Fuzzy Inference System Aided Personal Detection: Ear Biometrics

Abstract

Ear biometric is receiving increased momentum in recent years because of various proven advantages, ear biometric system are based on the biological features of the ear, these features being extracted from the images will surely be approximate interns of their dimensions and the extent, it is exactly here the fuzzy inference system(FIS) for personal detection, for building this system around 840 right ear images were collected, processed and the shape based biometric features were elicited, the system so developed has shows excellent performance in terms of sensitivity, specificity and accuracy which are 94.11%, 100%, and 95% respectively.

Authors and Affiliations

Prashanth G. K, M. A. Jayaram, Rohit K

Keywords

Related Articles

Application for Handwritten Devnagari Optical Character Recognition

Handwritten character recognition is used frequently to describe the ability of computer to translate human writing into text. The technical challenges in character recognition arise mainly from three sources. First the...

Deepfakes Technologgy Using Artificial Intelligence

In spite of the fact that controls of visual and hear-able media are just about as old as media themselves, the new entry of deepfakes has denoted a defining moment in the formation of phony substance. Fueled by the most...

Review on Detecting DDoS Attacks using Map Reduce in Haddop

An assault on a network that overflows it with so many requests that regular traffic is either decelerated or entirely interrupted. Unlike a virus or worm, this can cause severe damage to databases. A Distributed Denial...

Customer Churn Prediction in Telecom Industry Using Regression Algorithms

Customer acquisition and retention is a major challenge in a variety of industries, but it is most severe in highly competitive and fast-growing companies. Customer turnover is a major worry for large organisations since...

Managing Object Oriented Software Understandability: A Design Perspective

Estimating understandability of object oriented software early in the development process; particularly at design phase greatly reduce the overall development cost and effort. To design and deliver quality products insid...

Download PDF file
  • EP ID EP748502
  • DOI -
  • Views 49
  • Downloads 0

How To Cite

Prashanth G. K, M. A. Jayaram, Rohit K (2016). Fuzzy Inference System Aided Personal Detection: Ear Biometrics. International Journal of Innovative Research in Computer Science and Technology, 4(5), -. https://europub.co.uk./articles/-A-748502