Fingerprint Biometric System: A Survey
Journal Title: International Journal of Computer Science & Engineering Technology - Year 2014, Vol 5, Issue 7
Abstract
Fingerprint recognition is one of famous biometric system that is mostly used in various authentication techniques. Human fingerprint exhibit some certain details marked on it, categorized it as minutiae, which can be used as a unique identity of a person if recognize it in a well manner. This survey paper discusses the classification of fingerprints and different matching techniques that used in fingerprint recognition. The main aim of this paper is to discuss a complete system and an indigenous design model for fingerprint verification using minutiae extraction technique. To achieve a good quality minutiae extraction, firstly the fingerprint image is pre-processed by image enhancement which includes histogram equalization, fast fourier transformation and image binerization and then segmentation is done to get the effective area of the fingerprint followed by minutiae extraction which includes ridge thinning and minutiae marking and then a post-processing operation which includes removal of H-breaks, isolated points and false minutiae. Then, go for a final treatment which is minutiae matching, in which post processed fingerprint image is matched with the database and give decision.
Authors and Affiliations
Monika Sharma
Operations on Signed Numbers
Signed integers are normally represented using 2’s complement representation. Addition and subtraction of signed numbers is done similar to that of unsigned numbers. However carry (or borrow) is simply ignored. Unlike un...
An Overview on the Architecture of WhatsApp
WhatsApp Messenger Application is a messaging application that uses the Internet to connect to the person whose number is registered with WhatsApp Account. Various Databases have been used in the distributed applications...
Trust Worthy Framework for Wireless Sensor Networks
A Wireless Sensor Network (WSN) consists of spatially scattered self-directed sensors to agreeably monitor physical or ecological conditions, such as temperature, sound, vibration, pressure, motion or pollutants. Trust i...
Vision Based Gesture Recognition for Alphabetical Hand Gestures Using the SVM Classifier
In this paper we discuss how a Gesture Recognition system for Alphabetical Hand Gestures is built. The main motive was to develop a system that can simplify the way humans interact with computers. The system is designed...