A Robust Automatic Vascular and Non-Vascular based Retina Recognition system Using PSO

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Rupinder Kaur
Sonika Jindal


Retinal recognition is the most accurate, stable and reliable identification method in biometric system. Unique vascular pattern of retinal fundus image is used to perform person’s identification. In this paper, two different retinal recognition methods, vascular-based feature extraction and non-vascular based feature extraction with a PSO-based feature selection approach is presented. In our first method bifurcation or minutiae points are extracted from the retinal image and in second method structural features like luminance, contrast and structure are extracted instead of taking bifurcation points. After extraction of features, feature selection process has been applied to select a subset of features that efficiently represents original extracted features. To perform classification, the optimized feature vector is passed to the support vector machine (SVM) classifier to find the fitness values. Our proposed work is implemented on RIDB and DRIDB retinal image databases. Experimental results for both vascular and non-vascular methods are measured with 99% accuracy with false acceptance rate (FAR) and false rejection rate (FRR) parameters on both databases.


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Author Biographies

Rupinder Kaur, Shaheed Bhagat Singh State Technical Campus, Ferozepur, Punjab, India

Research Scholar, Computer Science and Enginnering

Sonika Jindal, Shaheed Bhagat Singh State Technical Campus

A.P, Department of Computer Science and Engineering


N. K. Sandhu and R. Kaur, “Biometric Security Technique: A Review,†Indian Journal of Science and Technology, Vol 9(47), December 2016.

Duarte, Tiago and joao Paulo Pimentao, Pedro Sousa and Sergio Onofre, “Biometric access control systems: A review on technologies to improve their efficiency,†In IEEE, 2016.

Kuppusamy, P and Divya, B, “A Survey of retina based disease identification using Blood vessel segmentation,†In ICTACT Journal on Image & Video Processing, 2016.

Wafa Barkhoda1, Fardin Akhlaqian, Mehran Deljavan Amiri and Mohammad Sadeq Nouroozzadeh, “Retina identification based on the pattern of blood vessels using fuzzy logic,†EURASIP Journal on Advances in Signal Processing, 2011.

Hannu Oinonen, Heikki Forsvik, Pekka Ruusuvuori, Olli Yli-Harja, Ville Voipio and Heikki Huttunen, “IDENTITY VERIFICATION BASED ON VESSEL MATCHING FROM FUNDUS IMAGES,†Proceedings of 2010 IEEE 17th International Conference on Image Processing, September 26-29, 2010.

Sana Qamber, Zahra Waheed, and M. Usman Akram, “Personal Identification System Based on Vascular Pattern of Human Retinal,†In 6th Cairo International Biomedical Engineering Conference, 2012.

Zahra Waheed, M. Usman Akram, Amna Waheed, Muazzam A. Khan, Arslan Shaukat, Mazhar Ishaq, “Person identification using vascular and non-vascular retinal features,†In Elsevier, 2016.

Hichem Betaouaf, Abdelhafid Bessaid, “A Biometric Identification algorithm based on retinal blood vessels segmentation using watershed transformation,†2013 IEEE.

Abu Hasnat, Mohammad Rubaiyat, Shubhra Aich, Tanjin Taher Toma, Abidur Rahman Mallik and Rafat-Al-Islam, “Fast Normalized Cross-Correlation Based Retinal Recognition,†In 17th International conference on Computer and Information Technology (ICCIT) 2014.

Sahinaz Safari Sanjani, Jean-Baptiste Boin, Karianne Bergen, “Blood Vessel Segmentation in Retinal Fundus Imagesâ€.

Manjiri B. Patwari, Ramesh R. Manza, Yogesh M. Rajput, Manoj Saswade, Neha Deshpande, “Personal Identification algorithm based on Retinal Blood Vessels Bifurcation,†In 2014, International conference on Intelligent Computing Applications.

Bevilacqua S. Cambò L. Cariello G. Mastronardi, “A Combined method to detect retinal fundus features,†International Journal of Computer Trends and Technology (IJCTT), 2014

R.S Choras, “Retinal Recognition for biometrics,†in ICDIM, 2012.

L.Latha, M.Pabitha and S.Thangasamy, “A Novel Method for Person Authentication using Retinal Images,†In International Conference on Innovative Computing Technologies, (ICICT) 2010, Tamil Nadu.

Muhammad Nazrul Islam, Md. Amran Siddiqui and Samiron Paul, “An Efficient Retina Pattern Recognition Algorithm (RPRA) towards Human Identification,†2nd international conference on Computer Control and Communication 2009.

Shuangling Wang, YilongYin, GuibaoCao, BenzhengWei, YuanjieZheng, Gongping Yang, “Hierarchical retinal blood vessel segmentation based on feature and ensemble learning,†In Elsevier 2014.

Elaheh Imani, Malihe Javidi and Hamid-Reza Pourreza, “Improvement of Retinal Blood Vessel Detection Using Morphological Component Analysis,†In Computer Methods and Programs in Biomedicine, Vol.118, Issue 3, March 2015.

Seyed Mehdi Lajevardi, Arathi Arakala, Stephen A. Davis, and Kathy J. Horadam, “Retina Verification System Based on Biometric Graph Matching,†In IEEE Transaction on Image processing, September 2013.

Rita A. Vora, Dr. V A Bharadi, Dr. H B Kekre, “Retinal Scan Recognition using Wavelet Energy Entropy,†In International conference in 2012 on Communication, Information & Computing Technology (ICCICT).

Zahedi A , Sadjedi H , Behrad A ., “A new retinal image processing for human identification using radon transform,†In: 6th Iranian conference on machine vision and image processing (MVIP), Isfahan; Oct 2010.

Zahedi A , Sadjedi H ., “A human identification system based on retinal image, processing using partitioned fourier spectrum,†In: International conference on audio language and image processing (ICALIP), Shangai; Nov 2010 .

Waheed, Zahra and Waheed, Amna and Akram, M Usman, “A robust non-vascular retina recognition system using structural features of retinal image,†In Applied Sciences and Technology (IBCAST), 13th International Bhurban Conference on IEEE, 2016.

Zahra Waheed, M. Usman Akram, Amna Waheed, Arslan Shaukat, “Robust Extraction of Blood Vessels for Retinal Recognition,†2015 IEEE.

V. P. Patil , P. R. Wankhede,†Pre-Processing Steps for Segmentation of Retinal Blood Vessels,†International Journal of Computer Applications, May 2014.

Mohamed A. El-Sayed, M. Hassaballah, Mohammed A. Abdel-Latif, “Identity Verification of Individuals Based on Retinal Features Using Gabor Filters and SVM,†Journal of Signal and Information Processing, 2016.

Shuangling Wang, YilongYin, GuibaoCao, BenzhengWei, YuanjieZheng, Gongping Yang, “Hierarchical retinal blood vessel segmentation based on feature and ensemble learning,†In Elsevier 2014.

Joddat Fatima, Adeel M. Syed and M. Usman Akram, “A Secure Personal Identification System Based on Human Retina,†2013 IEEE Symposium on Industrial Electronics & Applications (ISIEA2013), September 22-25, 2013.

Ryszard S. Chora, “Retina recognition for biometrics,†In ICDIM 2012, IEEE.

Zahra Waheed, M. Usman Akram, Amna Waheed, Muazzam A. Khan, Arslan Shaukat, Mazhar Ishaq, “Person identification using vascular and non-vascular retinal features,†In Elsevier, 2016.

Yudong Zhang, Shuihua Wang, and Genlin Ji, “A Comprehensive Survey on Particle Swarm Optimization Algorithm and Its Applications,†Hindawi Publishing Corporation Mathematical Problems in Engineering Volume 2015,

Rabab M. Ramadan and Rehab F. Abdel – Kader, “Face Recognition Using Particle Swarm Optimization-Based Selected Features,†International Journal of Signal Processing, Image Processing and Pattern Recognition Vol. 2, No. 2, June 2009

Chung-Jui Tu, Li-Yeh Chuang, Jun-Yang Chang, and Cheng-Hong Yang, “Feature Selection using PSO-SVM,†IAENG International Journal of Computer Science, 33:1, IJCS.

A. Zabidi, L. Y. Khuan, W. Mansor, I. M. Yassin, and R. Sahak, “Binary Particle Swarm Optimization for Feature Selection in Detection of Infants with Hypothyroidism,†33rd Annual International Conference of the IEEE EMBS Boston, Massachusetts USA, August 30 - September 3, 2011