Various Aspects of Minutia As a Fingerprint Feature

Abstract

Biometrics is one of the biggest tendencies in human identification. The fingerprint is the most widely used biometric. Extracting minutiae from fingerprint images is one of the most important steps in automatic fingerprint identification and classification. Minutiae are local discontinuities in the fingerprint pattern, mainly terminations or end points and bifurcations.

Authors and Affiliations

Kalyani Mali , Samayita Bhattacharya

Keywords

Related Articles

A HYBRID APPROACH FOR CLUSTERING BASED ON COMBINATIONAL ALGORITHMS

Data clustering helps one discern the structure of and simplify the complexity of massive quantities of data. It is a common technique for statistical data analysis and is used in many fields, including machine learning,...

Analysis of Fuzzy Fault Tree using Intuitionstic Fuzzy Numbers

In generally fuzzy seats are used to analyses the system reliability. In present paper we have presented a new approach to evaluate the reliability of fuzzy fault tree using Intuitionstic Fuzzy Numbers. In application of...

Feedback Routing Algorithm in optical WDM Networks

This study is mainly concentrate on the routing problem in optical WDM network. In WDM network, the wavelength continuity constrain must be taken care in data communication. Lightpath is the communication channel between...

LOCK-FREE FIFO BASED PARALLEL HTB IN CLOUD COMPUTING

Cloud computing is becoming more and more popular in IT industry nowadays. Those famous companies including Amazon, IBM, HP, Google and Microsoft are creating and deploying Clouds in various locations around the world. T...

ENHANCING THE DATA SECURITY OF SIMPLE COLUMNAR TRANSPOSITION CIPHER BY CAESAR CIPHER AND RAIL FENCE CIPHER TECHNIQUE.

Cryptography is an art and science of converting original message into no readable form. There are two techniques for converting data into no readable form. Transposition technique ,Substitution technique. In recent year...

Download PDF file
  • EP ID EP145733
  • DOI -
  • Views 128
  • Downloads 0

How To Cite

Kalyani Mali, Samayita Bhattacharya (2010). Various Aspects of Minutia As a Fingerprint Feature. International Journal of Computer Science & Engineering Technology, 1(4), 81-91. https://europub.co.uk/articles/-A-145733