Author(s): Mandeep Singh Walia

Email(s): walia_mandeep2003@yahoo.com

DOI: 10.5958/2321-581X.2017.00074.5   

Address: Mr. Mandeep Singh Walia
Panjab University SSG Regional Centre, India
*Corresponding Author

Published In:   Volume - 8,      Issue - 4,     Year - 2017


ABSTRACT:
Iris patterns are very complex and the combination of complexity with randomness confers mathematical uniqueness to a given iris pattern. Once the image is captured, the iris elastic connective tissue is analyzed, processed into an optical “fingerprint,” and translated into a digital form. The fundamental computing concepts at the core of modern biometrics include image processing, pattern recognition, statistics, basic signalling, and some machine learning models such as knowledge based systems and neural nets. In this paper, methods employed for segmentation as Hough transform with methods employ for iris feature extraction are Hough transform, discrete cosine transform and discrete fractional transforms. In order to extract iris features a normalized iris image is divided into patches. The method is effective compared to existing methods. Performance analyses of different feature extraction methods are proposed. For verification, a variable threshold is applied to the matcher and the False Accept Rate (FAR) and False Reject Rate (FRR) are recorded. Experimental results show that the proposed method can be used for personal identification in an effective manner.


Cite this article:
Mandeep Singh Walia. Performance Analysis of Feature Extraction Techniques for Iris Pattern Recognition System. Research J. Engineering and Tech. 2017; 8(4): 431-435. doi: 10.5958/2321-581X.2017.00074.5

Cite(Electronic):
Mandeep Singh Walia. Performance Analysis of Feature Extraction Techniques for Iris Pattern Recognition System. Research J. Engineering and Tech. 2017; 8(4): 431-435. doi: 10.5958/2321-581X.2017.00074.5   Available on: https://ijersonline.org/AbstractView.aspx?PID=2017-8-4-24


Recomonded Articles:

Author(s): Archana Jethale, Neethu V Nath, Tanvi Arawkar, Anaja Bajpeyi, Deepti Nirwal

DOI: 10.5958/2321-581X.2018.00050.8         Access: Open Access Read More

Author(s): A. Narmada, P. Sudhakara Rao

DOI: 10.5958/2321-581X.2018.00029.6         Access: Open Access Read More

Author(s): Shubhangi A. Wakode, Sunil R. Gupta

DOI: 10.5958/2321-581X.2015.00039.2         Access: Open Access Read More

Author(s): Chaitali Katpatal, Pallavi Bijwe, Rashmi Fulper, Prof. B. M. Hardas

DOI: 10.5958/2321-581X.2019.00020.5         Access: Open Access Read More

Author(s): Bhalchandra S. Tankkar, Swapnil Wanjari

DOI: 10.5958/2321-581X.2015.00061.6         Access: Open Access Read More

Author(s): Manikandan N., Usha Kingsly Devi K.

DOI:         Access: Open Access Read More

Author(s): B.D. Venkatramana Reddy, T. Jayachandra Prasad

DOI:         Access: Open Access Read More

Author(s): Deepti Verma, Deepika Chandrawanshi

DOI:         Access: Open Access Read More

Author(s): S. Sanjeev Kumar, N. Balamurugan

DOI:         Access: Open Access Read More

Author(s): T. Pearson, G. Manogna, K. Prathima, P. Roshini Mary

DOI: 10.5958/2321-581X.2019.00014.X         Access: Open Access Read More

Author(s): Narendra Kumar Dewangan, Nilmani Verma, Sandeep Gonnade

DOI:         Access: Open Access Read More

Author(s): Deepak Rao Khadatkar, Yogesh Rathore

DOI:         Access: Open Access Read More

Author(s): Satya Prakash Singh, Vijendra Pratap Singh

DOI:         Access: Open Access Read More

Author(s): Bhumika S. Zalavadia

DOI:         Access: Open Access Read More

Research Journal of Engineering and Technology (RJET) is an international, peer-reviewed, research journal aiming at promoting and publishing original high quality research in all disciplines of engineering sciences and technology....... Read more >>>

RNI: Not Available                     
DOI: 10.5958/2321-581X 


Recent Articles




Tags