IRIS Recognition System Project

IRIS Recognition System is the process of identifying the iris pattern of the human eye. This project is implemented through the MATLAB. Through MATLAB language, it is very easy and accurate to detect the iris pattern deprived of any difficulties.

During the detection process, mean of the image is calculated and then the eye image is scanned several times to make sure that the regions have same pixels. The camera effect can apply bright effect to the eye picture captured so we scan the images till we obtain the threshold value.

Pupil area, iris edges are concentrated more during the matrix manipulation for accurate human identification. Hough transform is used in the automatic detection process. This is an effective and best for real time because even the identical twins and triplets can also be differentiated through the classification of Human Eye.

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Latest Matlab Project List

MATLAB is a high performance language used to perform numerical computations. MATLAB functions and operators are helpful to perform matrix manipulations in an effective manner. It is also effective in creating graphical user interface applications.

Here are some of the latest MATLAB Projects lists for B.E, M.C.A, M.B.A college students.

1. Facial Signature Authentication using biometrics.
2. Automatic Detection of Optic Disk using PCA and Mathematical Morphology Technology.
3. Automatic license plate detection in vehicles.
4. Study of Image fusion techniques such as PCA, DCT and DWT.
5. Detection of Rail surface defects.
6. Iris Recognition by Hough Transform method.
7. Driver Drowsiness recognition system.
8. Distinguishing Identical twins based on facial marks.

For more final year project list, visit http://www.finalyearprojects.in

Key Features of MATLAB

MATLAB is a high level language and it is basically used for performing computation, visualization and developing applications. MATLAB contains many mathematical functions and they are used for linear algebra, statistics, numerical integration, fourier analysis and also useful to solve differential equations. And MATLAB contains built-in graphics within it which enables us to visualize data.

The core math functions use processor-optimized libraries for faster execution of vector and matric calculations. We can use several methods for numeric computations.

During data analysis and visualization, we can acquire the data from files, databases and external drives. We can read data of any file formats. It may be excel, visual, image or sound. And we can also share the complete reports in the form of plots.

Whereas in programming and development session, MATLAB development tools like command window, MATLAB Editor, Code Analyzer and MATLAB profiler are used. While deploying the application developed, MATLAB production Server and MATLAB coder are used effectively. Hence considering the extensive features of MATLAB, students use it to develop various applications for their Final Year Projects.