Seminar Report Biometric Authentication

Introduction to Biometric Authentication Seminar Topic:

These are the technique of the user authentication which is very difficult to forge, they cannot theft or something to forget, they are always with us, like eyes, hand, fingerprint.  It used the technique of pattern matching like fingerprint matching which is very unique and they vary from user to user or hand matching pattern like the shape of a hand. If in case someone fingerprint might not work then his face recognition or his voice can be used.

First, the user image is taken and converted into a template which is then stored in the database. When the next time user comes his new image is compared with previous image and the numeric value is created that determines the correctness of image.  Then three possibilities occur:

Fingerprint Biometric System: every user has its unique pattern on her hands. These patterns are successfully used in many applications. This is a very old method but very used. These techniques are based on two categories, minutiae-based and correlation based.

Face retrieval systems: this technique is based on the face identification. The computer records the still image of the face and keeps in the database and next time it identifies the face. They are used in surveillance computers or human interface computers.

Hand geometry: this technique uses the shape of the body part like a hand. This is not unique. They are generally used for frequent identification.

Retina and iris recognition:  this is very rare in fact of that truth that retina is unique but also it is less used. It requires proper light at the black spot. They are generally used by the military.

Whereas In few places they use multi- scanning systems like fingerprinting with eye scanning together. They are used in heavy systems like supercomputers for security purpose and by the defense.

Latest Seminar Topics on Biometrics Systems

Introduction to Biometric Systems Seminar Topic:

It is the method of authentication based on the biological science. It generally uses pattern matching technique. It utilizes pattern verification like finger print matching, iris blood vessel pattern, facial geometry.

It is very secure and reliable. They are now mostly used in the e-commerce, net-banking that has enhanced the confidence of people.

Advantages of Biometric Systems: its features are unique and the level of security is very high. Now are free from remembering password, PINs etc. it has reduced the tension of IT companies, now they have more secure workstations.

Disadvantages of Biometric System: these systems are very costly because of their hardware and software, and their integration to the network is also costly. Few populations don’t trust these systems as they think biometrics copies their finger print, but it is not true. It only copies the mathematical statics behind the finger print. It consume more space as it image related to any ID or PASSWORD.

Biometric Finger print system: It uses the pattern that we have on our fingers. This is unique to every person. It is not much used as people don’t have trust on it, they think they might exploit their finger print for illegal use.

Hand scan: they use the design of hand. This is not unique as required.

Voice authentication: it has very high acceptability rate than others. It is based on the voice of the user. But it also fails if the person is real and he has cold then the system might not be able to detect his voice.

Retina and iris scan: it includes the scanning of our eye and retina. They take the pattern image of our blood vessel. It has very high accuracy. It has negligible drawbacks.

Facial recognition: it scans the geometry of human face. This also has the same problem with the privacy. User doesn’t want to leak their authenticity. 

Seminar Report on Biometric Technology

Biometric Technology for Security

It is a pattern recognition system that identifies person according to their characteristics and behavior. As today everyone uses computers and mobiles and there are used for illegal; purpose as well, so it must that they must be protected from fraud. Like ATMs, cellular phones, desktops, workstations.

The first device was used in back 30 years ago called as identical. They take the image of the user and then match it with images they have in their databases. They also work physiological characteristics like a fingerprint, eyes pattern, facial pattern.

Hand: they take 3 dimensional of hands and can produce the result in 1.2 seconds. It works as it hand have many combinations like the shape of fingers, size of index fingers, forefingers, thumbs etc. and they all have a correlation between them.

Fingerprint: this is the most widely used technique for everyone has a unique fingerprint. We have a special pattern on our hands, and they are different to all people. This technique is used in the security systems. They are widely used by military and law enforcement.

Eye: it involves the identification of iris and scanning the blood vessels on the retina.  This technique is less used as people avoid eyes scanning.

Speech: it is attractive technology as it works over our voice verification. Now they are being used in the AT & T smart cards used in the ATMs,

Face: this technique is based on the face pattern matching. They take the image of the whole face for automatic identification.  The face may change due to hairs, pimples and head position, so they take several images at different angles, and mostly they use neural networks for classifying the image.

Seminar on Biometric Security Systems

Introduction to Biometric Security Systems Seminar Topic:

These are the technique of the user authentication which is very difficult to forge, they cannot theft or something to forget, they are always with us, like eyes, hand, fingerprint.  It used the technique of pattern matching like fingerprint matching which is very unique and they vary from user to user or hand matching pattern like the shape of a hand. If in case of someone fingerprint might not work then his face recognition or his voice can be used.

First, the user image is taken and converted into a template which is then stored in the database. When the next time user comes his new image is compared with previous image and the numeric value is created that determines the correctness of image.  Then three possibilities occur:

–         When the user is not authenticated or rejected

–         When the data are not correct means some data are correct and some right

–         When the decision is adjusted such that result obtained is true.

Fingerprint authentication: this is widely used technique as a fingerprint is very unique. The user has a unique pattern on their hands which is used for identification.

Iris authentication: human eyes have dark spot knows as iris which is divided into lakhs of colored circles.

Voice authentication: human voice is generated from a vocal tract that vibrates and create sound. Human has different speaking characteristics which are used for authentication. There is two of voice authentication used:  Text-dependent and Text independent.

Face authentication: they used a video camera for identifying human faces. It takes 10-20 seconds and the camera takes more than 1 picture at different angles for more accurate identification.

Applications:  they are used in most of the banks for card fraud, telephone transactions, workstations, travel and tourism, internet transactions and now it is also public identity cards like ‘”AADHAR “.

Biometric System Seminar Report

Introduction to Biometric System:

This is a security system that used pattern matching technique for identification. There are several techniques in biometric systems like a fingerprint, face identification, hand geometry. They are a very useful device in terms of security.

Fingerprint: every user has its unique pattern on her hands. These patterns are successfully used in many applications. This is a very old method but very used. These techniques are based on two categories, minutiae-based and correlation based.

Face retrieval systems: this technique is based on the face identification. The computer records the still image of the face and keep in the database and next time it identifies the face. They are used in surveillance computers or human interface computers.

Hand geometry: this technique uses the shape of the body part like a hand. This is not unique. They are generally used for frequent identification.

Retina and iris recognition:  this is very rare in fact of that truth that retina is unique but also it is less used. It requires proper light at the black spot. They are generally used by the military.

These all methods discussed above are a single method, but single method systems are not able to meet the requirement, so we used the multi-model technique. In this model, several recognition is required like they are used for recognition, fingerprint matching, with speaker verification.

Biometric systems are used for a commercial purpose such as ATM, medical records. They are used by government systems such as national ID card, border control, passport control. They are used forensic labs for finding missing children, parenthood determination.  They are used in Identix Touch clock verification system like attendance applications.

Limitations: they are very noisy or create too much distortion. It might not work if someone fingers print are not properly visible and it also possible to create duplicate fingerprints.

Blue Gene Technology Seminar Report

Introduction to Blue Gene Project:

These are special microcomputers that are used in the medical application. They are made up of RNA, DNA, and proteins. They can also perform mathematical calculations. They help the doctors to cure the damaged cells, disease or cancers cells. 

The first possibility of biocomputers is proposed by Dr. Leonard Adleman in 1994.

Bio cell has the capability to build its own. It has a very nice mechanism that if researchers want to could build such a biomolecule that could figure out each and every cell of the body leaving healthy cells. They also work in human kidney. In this case, computers have just transformed to a molecule, such that now it can be put millions of such computers into one drop of solution.

Now, the conventional computers are very difficult to solve the problems like the shortest path on the maps between many cities. But this problem was solved by DNA computer. They easily track the number of short operations. One simple problem can be solved by the 765 different software programs. 

Health experts generally use biological computers to determine the cellular activity and check which cellular activity is harmful or not. They construct molecule which is generally realization of mathematical components, it has the software, it has hardware and after computing result produces is another molecule.

For such device, Shapiro used four components of DNA named as A, C, G and T for encoding of zeroes and ones that create an input molecule. Then hardware starts working and the process will continue till the problem is solved.

Now a day’s competition over DNA computing has increased very much. It has very useful advantages. Now the treatment of selected cells are possible and doctor need not check the whole body they can focus on a single cell and carry out treatment.

Advancements in Chess Game

In the present world there are so many gaming techniques that are emerging rapidly for the development of chess game, here are some work and techniques that has been taken place in previous research’s about chess game that has used artificial intelligence for creating a perfect and challenging matches  are listed below.

Most of the previous researches developed  are on the basis of current and previous techniques, so in an attempt to go beyond those techniques a lot of previous research that’s taken place on the chess has been taken into consideration where some are focused on the descriptive way and the other’s went in a practical way.

In reference to the above phrase it can be known that there is a lot of advancement in the present world for chess game, but for a better and good development of any application the research has to be started from the early stages which has been taken into consideration for the development.

In a previous researches it states that in 1997 the IBM company  has increased the processor and power of the computer which lead to a much better performance where computer is capable of analysing 200 million moves per second which results the programmes developed are capable of generating a large number  moves as quick as human is capable off.

Chess Programming Tutorial

 So Accordingly form the early works that produced, (SHANNON, 1950) researched a proposed on programming a computer for playing a chess which has become an idealistic model for the machine intelligence, and also produced a paper on the subject where so many other also helped him, but as the modern world developed the large machine playing computer has been a real problem for the computer professional to handle them.

For example (Berliner, 1990) has developed an similar approach like shannon which is Some necessary conditions for Master Chess Program produced a strong evidence that how good the programming the better the itelligence it shows.

Introduction to Chess Game Algorithm

Similarly some other studies have ways of different approach,  (Quon, 2005) like concentrating mainly on the algorithm and gaming tree but not concentrating on the AI in the program, in the similar study of  this type  (S. Russell, 1995) has developed a game tree by producing a minimax algorithm, russel has produced some moves from certain position by giving the tree evaluation way, and also he suggested to reduce the search whenever it reaches a certain point of limit. The author also evaluated a method called alpha-beta pruning which will remove the branches of the tree so that it will not affect the final result.

At the same time André Pereira (André Pereira, 2009) suggests that pervasive chess game like programs are very helpful for the AI techniques in games and he also proposes a development that has made in chess game using AI techniques has resulted a very success. So in reference for his way  (Levinson) proposed an article about role of chess in artificial intelligence research  which has evaluated that many AI techniques have their evaluation of devopment in the gaming field in way to make the computer to grand master level and gives a perfect outcome.

For example, Hypothesis Model for developing the game, (Lemeire) (Michelle Cowley, 2004) in this Lemeire comes with outcome that will come by the step by step where each step is related with the next one, in the initial step that is ‘Cognitive study’ he checks the design with the current existing algorithms and  assumes whether the desired outcome is expected or not , in the next step that is the ‘Hypothesis Validation’  he makes an evaluation of the current situation whether it is success or not, then in the next step

‘Theoretical Proof’ after verifying the results from the above stages the inputs for the next step are available then the author has different hypothesis levels for getting the desired outcome, observing the theoretical proof the next step is the implementation where the actual hypothesis way starts, which is by hypothesizing the patterns for the outcome by going in an explanation based research  and verification will done so that the expected outcome is delivered

Similarly there is an approach in the model which was given by Michelle Cowley and that approach is a ‘Scoring Confirming and Falsifying hypothesis’ test in this approach at each stage ways the path to the next stage, in the scoring stage the inputs for the confirming stage are produced, then in the confirming stage the inputs from the scoring are tested in the confirmation bias, then in the Falsification stage the actual results will be produced. 

Introduction to Computer Chess Game Algorithm

There are so many types of Artificial Intelligence (AI) techniques such as (Marsland) (Bernstein)

  • Minimax Search Algorithm
  • Alpha-Beta Algorithm
  • Minimal Game Tree
  • Aspiration Search
  • Minimal window Search

So in this development the MiniMax approach is suitable for the development, so a small description about Min-Max approach

MiniMax: From a lot of AI techniques minimax approach is one of the best approaches for gaming, as chess in a two player node game there are two nodes for a move and the best move that is the most successful one has to be selected for the sides, so for a perfect minimax search the every node of the sides has to be searched and the search will start from the length and the depth of the nodes, because the result of the game can’t be known until and unless there is an end or checkmate of the search so that the depth of the game can be known, so search involves the best move for the each side.