Fingerprint recognition

into the allurements of the Internet, our privacy has stowed itself into the relative anonymity of vast city populations. But these precious moments of privacy, hidden in the over abundance of lives and routines, will soon be threatened by facial recognition technology (Frey 2016). Any negative connotations surrounding surveillance is reciprocated by the Orwellian dystopia which is popular for its pessimistic perspective. Although these visions of a restrictive surveillance state are just fictional

TITLE: Web Application based on Facial Recognition System Anand Singh, Erarica Mehra, Saundarya Dorle Anand Singh, Computer Department,DYPIEMR,thakuranand818@gmail.com Erarica Mehra, Computer Department,DYPIEMR,irarikamehra@gmail.com Saundarya Dorle, Computer Department,DYPIEMR,saundaryadorle@gmail.com ABSTRACT Police organizations depend a lot on gathering and sharing information. They are law enforcement bodies that focus on prevention of crime. They patrol the areas, respond to calls, investigate

be used in airport security, building access, cars, schools etc. A biometrics system is a recognition system that authenticates a person by his/her different biometrical factors. There are two types of biometrical factors:- • Physiological characteristics: This is very unique to every human being like finger prints, retina scan, face recognition etc. • Behavioural characteristics:

BIOMETRICS IMPLEMENTATION IN COMPUTER SECURITY There must be some solid personal recognition schemes for a wide variety of system either to determine or conform the identity of the people who do services. The purpose is that to ensure the provided services are accessed only by the user and no other people can do so. Some of the examples of such process includes secure access to computers, laptops, buildings, security places etc. In absence of these schemes these systems are vulnerable

far do you agree? (30 marks) Ref - http://www.biometrics.org/html/introduction.html Biometrics are automated methods of recognizing a person based on a physiological or behavioral characteristic. Among the features measured are; face, fingerprints, hand geometry, handwriting, iris, retinal, vein, and voice. Biometric technologies are becoming the foundation of an extensive array of highly secure identification and personal verification solutions. As the level of security breaches and transaction

communities etc. Biometric Identification systems have emerged as a preferred alternative to traditional forms of Identification. Several Biometric modalities research includes Fingerprint, Iris, Face and Retina recognition has got varying level of success. Our system is concerned with Thermal Imaging for Facial recognition. The convective heat transfer effect from the flow of hot arterial blood in vessels creates characteristic Thermal imprints [1]. Therefore when one acquires the Thermal image of

During investigating a crime scene there is very important databases that can help make or break a case. Some examples of certain databases they use are National Integrated Ballistic Information Network (NIBIN), The Integrated Automated Fingerprint Identification System (IAFIS), and Combined DNA Index System (CODIS). Using these certain databases can help you solve a crime more efficiently because you can find answers you need more quickly with the technology that is now provided.  The first database NIBIN

ABSTRACT Bangla word recognition is extremely challenging and there are too few works reported on online cursive Bangla word recognition. Bangla is a complicated script and it needs rigorous investigations to implement a better recognition system. While we have sophisticated classifiers like Hidden Markov Models or BLSTM Neural Networks for recognition of complicated scripts, we have very little comparative studies about the appropriate feature sets for such scripts. In this paper, our aim is to

This system is very successful in recognition of handwritten characters. Hence this system will be suitable to convert handwritten text into text document. Introduction : Optical Character Recognition is one of the most researching field in recent years. It has numerous applications in the field of automation and advancement of machine interface with man. Handwritten recognition is one of the challenging and fascinating area for research in Optical Character Recognition. Online and Offline are two modes

Abstract—Character Recognition by machines is an innovative way by which the dependence on manpower is reduced. Character recognition provides a reliable alternative of converting manual text into digitized format. Now-a-days, as technology becomes integral part of human life, many applications have enabled the incorporation of English OCR for real time inputs. The advantages that the English alphabet has is its simplicity offered by less number of letters i.e. 26 and easier classification due to