you can use OpenCV

 Dear Adhiyaman,

Things are always designed to be tough. Eventually they will be easy and easier. My Take is Starting coding. When you get struck...There is always somebody to help. Sorry If I am wrong.

Thank You

For biometric - clear set of features . Say Eyes, begin with radius/diameter, circumference of Iris , color of the Iris , shape/elliptical area of the eye .

I will just list for Iris circumference :

1. Edge extraction (generic)

2. Corners to get infliction points for estimation (particularly for reflection say )

Can use clustering for localization (k-means)

3. Check if iris is complete circle or not depends on eye lid open/closed

Here you can used some parametric equations /Euclidean distance etc etc

Tools : Any to makes things simpler start with Matlab , idea consolidation then can go to C/C++ libraries 

What types of pattern? 

Once you have specify this I could contribute more.

if you have the geometric data from your bio-metric algorithm you can use principle component analysis (PCA) and support vector machine(SVM) to classify you result which are both implemented in mat lab .

Python can be your tool of choice for pattern recognition. It has several libraries that can be imported and used for image processing and pattern recognition tasks. Another thing, deep learning tools are often interfaced to python - take Theano and Caffe for example.

TANAGRA is a free DATA MINING software for academic and research purposes.

I suggest the scikit in Python.... is very easy and powerful framework.

http://scikit-learn.org/stable/

If you are looking for pattern recognition tools I suggest Caffe and Theano which allow you to develop deep learning methods.

well manickam

https://www.researchgate.net/publication/281006519_Robust_Texture_Analysis_Approche_for_No-ideal_Iris_Recognition

Conference Paper Robust Texture Analysis Approche for No-ideal Iris Recognition