Efficient Biometric Iris Recognition Based on Iris Localization Approach
DOI:
https://doi.org/10.21928/uhdjst.v3n2y2019.pp24-32Keywords:
Biometric recognition, template matching, Iris Recognition, Iris Localization.Abstract
Biometric recognition is an emerging technology that has attracted more attention in recent years. This issue uses physiological and behavioral characteristics to identify an individual. The iris recognition approaches are among the most accurate biometric technologies with immense potential for use in global security applications. The purpose of this research is to implement an efficient approach to treat the diseased eye images in order to verify the second iris examination for the same person by inserting an improvement step to the iris recognition system. This step makes a correction of boundary around pupil and removes fraction regions. This approach demonstrates its ability to detect the inner limit of the iris. The obtained results shows that 90% success in the detection diseased eye images, which makes the iris recognition system more accurate and safe.
References
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[47] Swathi S. Dhage, Sushma Shridhar Hegde, K. Manikantan, S. Ramachandran (2015) DWT-based Feature Extraction and Radon Transform Based Contrast Enhancement for Improved Iris Recognition, Procedia Computer Science, Volume 45, 2015, Pages 256-265.
[48] Saiyed Umer, Bibhas Chandra Dhara, Bhabatosh Chanda (2017) A novel cancelable iris recognition system based on feature learning techniques, Information Sciences, Volumes 406–407, September 2017, Pages 102-118.
[49] Yujin Jung, Dongik Kim, Byungjun Son, Jaihie Kim (2017) An eye detection method robust to eyeglasses for mobile iris recognition, Expert Systems with Applications, Volume 67, January 2017, Pages 178-188.
[50] I. Tomeo-Reyes, V. Chandran (2016) Part based bit error analysis of iris codes, Pattern Recognition, Volume 60, December 2016, Pages 306-317.
[51] Haiqing Li, Qi Zhang, Zhenan Sun (2017) Chapter 5: Iris Recognition on Mobile Devices Using Near-Infrared Images, Human Recognition in Unconstrained Environments, 2017, Pages 103-117.
[52] Soubhagya Sankar Barpanda, Banshidhar Majhi, Panjak Kumar Sa, Arun Kumar Sangaiah, Sambit Bakshi (2018) Iris feature extraction through wavelet mel-frequency cepstrum coefficients, Optics & Laser Technology, In press, corrected proof, Available online 27 March 2018.
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[55] Piyush Samant, Ravinder Agarwal (2018) Machine learning techniques for medical diagnosis of diabetes using iris images, Computer Methods and Programs in Biomedicine, Volume 157, April 2018, Pages 121-128.
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[3] Mark Viner (2018) Chapter 19: Overview of Advances in Forensic Radiological Methods of Human Identification, New Perspectives in Forensic Human Skeletal Identification, 2018, Pages 217-226.
[4] Muzhir Shaban Al-Ani (2014) Biometrics: Identification and Security, Source title: Multidisciplinary Perspectives in Cryptology and Information Security, 2014, DOI: 10.4018/978-1-4666-5808-0.ch014. IGI Global, Pennsylvania (USA).
[5] Angi M. Christensen, Gary M. Hatch (2018) Chapter 20: Advances in the Use of Frontal Sinuses for Human Identification, New Perspectives in Forensic Human Skeletal Identification, 2018, Pages 227-240.
[6] Muzhir Shaban Al-Ani and Khattab M. Ali Alheeti (2017) Precision Statistical Analysis of Images Based on Brightness Distribution”, Advances in Science, Technology and Engineering Systems Journal Vol. 2, No. 4, 99-104 (2017).
[7] Muzhir Shaban Al-Ani (2017) Efficient Architecture for Digital Image Processing Based on EPLD, IOSR Journal of Electrical and Electronics Engineering (IOSR-JEEE), Volume 12, Issue 6 Ver. I (Nov. – Dec. 2017), PP 01-07.
[8] Muzhir Shaban Al-Ani, Tishko N. Muhamad, Hersh A. Muhamad, Ayub A. Nuri (2017) Effective Fingerprint Recognition Approach Based on Double Fingerprint Thumb, 2017 IEEE, 2017 International Conference on Current Research in Computer Science and Information Technology (ICCIT), Slemani – Iraq.
[9] James L Cambier (2014) Adaptive iris capture in the field, Biometric Technology Today, Volume 2014, Issue 2, February 2014, Pages 5-7.
[10] Andres Rodriguez, B.V.K. Vijaya Kumar (2014) Chapter 15: Segmentation-Free Biometric Recognition Using Correlation Filters, Academic Press Library in Signal Processing, Volume 4, 2014, Pages 403-460.
[11] Pedro Tome, Ruben Vera-Rodriguez, Julian Fierrez, Javier Ortega-Garcia (2015) Facial soft biometric features for forensic face recognition, Forensic Science International, Volume 257, December 2015, Pages 271-284.
[12] Mark S. Nixon, Paulo L. Correia, Kamal Nasrollahi, Thomas B. Moeslund, Massimo Tistarelli (2015) On soft biometrics, Pattern Recognition Letters, Volume 68, Part 2, 15 December 2015, Pages 218-230.
[13] Ioannis Rigas, Oleg V. Komogortsev (2015) Eye movement-driven defense against iris print-attacks, Pattern Recognition Letters, Volume 68, Part 2, 15 December 2015, Pages 316-326.
[14] Farzin Davoodi, Hassan Hassanzadeh, Seyed Alireza Zolfaghari, George Havenith, Mehdi Maerefat (2018) A new individualized thermoregulatory bio-heat model for evaluating the effects of personal characteristics on human body thermal response, Building and Environment, Volume 136, 15 May 2018, Pages 62-76.
[15] Patrick Connor, Arun Ross (2018) Biometric recognition by gait: A survey of modalities and features, Computer Vision and Image Understanding, Volume 167, February 2018, Pages 1-27.
[16] Kien Nguyen, Clinton Fookes, Sridha Sridharan, Massimo Tistarelli, Mark Nixon (2018) Super-resolution for biometrics: A comprehensive survey, Pattern Recognition, Volume 78, June 2018, Pages 23-42
[17] Ganbayar Batchuluun, Jong Hyun Kim, Hyung Gil Hong, Jin Kyu Kang, Kang Ryoung Park (2017) Fuzzy system based human behavior recognition by combining behavior prediction and recognition, Expert Systems with Applications, Volume 81, 15 September 2017, Pages 108-133.
[18] Steve Gold (2013) Iris biometrics: a legal invasion of privacy?, Biometric Technology Today, Volume 2013, Issue 3, March 2013, Pages 5-8.
[19] Marta Gomez-Barrero, Javier Galbally, Julian Fierrez (2014) Efficient software attack to multimodal biometric systems and its application to face and iris fusion, Pattern Recognition Letters, Volume 36, 15 January 2014, Pages 243-253.
[20] Kamel Aloui, Amine Nait-Ali, Mohamed Saber Naceur (2017) Using brain prints as new biometric feature for human recognition, Pattern Recognition Letters, In press, corrected proof, Available online 3 October 2017.
[21] Santosh Kumar, Sanjay Kumar Singh (2018) Monitoring of pet animal in smart cities using animal biometrics, Future Generation Computer Systems, Volume 83, June 2018, Pages 553-563.
[22] Simona Crihalmeanu, Arun Ross (2012) Multispectral scleral patterns for ocular biometric recognition, Pattern Recognition Letters, Volume 33, Issue 14, 15 October 2012, Pages 1860-1869.
[23] K.C. Reshmi, P. Ihsana Muhammed, V.V. Priya, V.A. Akhila (2016) A Novel Approach to Brain Biometric User Recognition, Procedia Technology, Volume 25, 2016, Pages 240-247.
[24] Harry Wechsler, Fayin Li (2014) Chapter 10: Biometrics and Robust Face Recognition, Conformal Prediction for Reliable Machine Learning, 2014, Pages 189-215.
[25] Muzhir Shaban Al-Ani and Qeethara Al-Shayea (2016) Speaker Identification: A Novel Fusion Samples Approach, International Journal of Computer Science and Information Security (IJCSIS), Volume 14, No. 7, July 2016, pp. 423-427.
[26] Dr. R. Satya Prasad, Muzhir Shaban Al-Ani, Salwa Mohammed Nejres (2016) Hybrid Fusion of Two Human Biometric Features, International Journal of Business and ICT, Volume 2 Number 1-2, June 2016.
[27] Qeethara Al-Shayea and Muzhir Shaban Al-Ani (2018) Biometric Face Recognition Based on Enhanced Histogram Approach, International Journal of Communication Networks and Information Security (IJCNIS) Vol. 10, No. 1, April 2018.
[28] Thomas Bergmüller, Eleftherios Christopoulos, Kevin Fehrenbach, Martin Schnöll, Andreas Uhl (2017) Recompression effects in iris recognition, Image and Vision Computing, Volume 58, February 2017, Pages 142-157.
[29] Mateusz Trokielewicz, Adam Czajka, Piotr Maciejewicz (2017) Implications of ocular pathologies for iris recognition reliability, Image and Vision Computing, Volume 58, February 2017, Pages 158-167.
[30] Yuniol Alvarez-Betancourt, Miguel Garcia-Silvente (2016) A keypoints-based feature extraction method for iris recognition under variable image quality conditions, Knowledge-Based Systems, Volume 92, 15 January 2016, Pages 169-182.
[31] Ashok K Bhateja, Shikhar Sharma, Santanu Chaudhury, Nitin Agrawal (2016) Iris recognition based on sparse representation and k-nearest subspace with genetic algorithm, Pattern Recognition Letters, Volume 73, 1 April 2016, Pages 13-18.
[32] Raghunandan Pasula, Simona Crihalmeanu, Arun Ross (2017) Chapter 4: A Multiscale Sequential Fusion Approach for Handling Pupil Dilation in Iris Recognition, Human Recognition in Unconstrained Environments, 2017, Pages 77-102.
[33] Farmanullah Jan (2017) Segmentation and localization schemes for non-ideal iris biometric systems, Signal Processing, Volume 133, April 2017, Pages 192-212.
[34] Diego Gragnaniello, Giovanni Poggi, Carlo Sansone, Luisa Verdoliva (2016) Using iris and sclera for detection and classification of contact lenses, Pattern Recognition Letters, Volume 82, Part 2, 15 October 2016, Pages 251-257.
[35] Yang Hu, Konstantinos Sirlantzis, Gareth Howells (2016) Iris liveness detection using regional features, Pattern Recognition Letters, Volume 82, Part 2, 15 October 2016, Pages 242-250.
[36] Maria De Marsico, Chiara Galdi, Michele Nappi, Daniel Riccio (2014) FIRME: Face and Iris Recognition for Mobile Engagement, Image and Vision Computing, Volume 32, Issue 12, December 2014, Pages 1161-1172.
[37] Jing Liu, Zhenan Sun, Tieniu Tan (2014) Distance metric learning for recognizing low-resolution iris images, Neurocomputing, Volume 144, 20 November 2014, Pages 484-492.
[38] Dr. R.Satya Prasad, Muzhir Shaban Al-Ani, Salwa Mohammed Nejres (2017) Human Identification via Face Recognition: Comparative Study, IOSR Journal of Computer Engineering (IOSR-JCE) e-ISSN: 2278-0661, p-ISSN: 2278-8727, Volume 19, Issue 3, Ver. II (May.-June. 2017), PP 17-22.
[39] Ghazi Ibrahem Raho, Muzhir Shaban Al-Ani, Abd Al-Karim Al-Alosi, Lobna Anwar Mohammed (2015) Signature Recognition Using Discrete Fourier Transform, International Journal of Business and ICT, Volume 1 Number 1-2, March-June 2015. DOI: 10.13140/RG.2.1.5182.6645.
[40] Dr. R. Satya Prasad, Muzhir Shaban Al-Ani, Salwa Mohammed Nejres (2015) An Efficient Approach for Human Face Recognition, International Journal of Advanced Research in Computer Science and Software Engineering, Volume 5, Issue 9, September 2015, India. DOI: 10.13140/RG.2.1.1512.6480.
[41] Dr. R. Satya Prasad, Muzhir Shaban Al-Ani and Salwa Mohammed Nejres (2015) An Efficient Approach for Fingerprint Recognition, International Journal of Engineering Innovation & Research, Vol. 4, Issue 2, 2015.
[42] Kien Nguyen, Clinton Fookes, Raghavender Jillela, Sridha Sridharan, Arun Ross (2017) Long range iris recognition: A survey, Pattern Recognition, Volume 72, December 2017, Pages 123-143.
[43] Mahmut Karakaya (2016) A study of how gaze angle affects the performance of iris recognition, Pattern Recognition Letters, Volume 82, Part 2, 15 October 2016, Pages 132-143.
[44] Kiran B. Raja, R. Raghavendra, Vinay Krishna Vemuri, Christoph Busch (2015) Smartphone based visible iris recognition using deep sparse filtering, Pattern Recognition Letters, Volume 57, 1 May 2015, Pages 33-42.
[45] Kevin W Bowyer, Estefan Ortiz, Amanda Sgroi (2015) Iris recognition technology evaluated for voter registration in Somaliland, Biometric Technology Today, Volume 2015, Issue 2, February 2015, Pages 5-8.
[46] Anis Farihan Mat Raffei, Hishammuddin Asmuni, Rohayanti Hassan, Razib M. Othman (2015) A low lighting or contrast ratio visible iris recognition using iso-contrast limited adaptive histogram equalization, Knowledge-Based Systems, Volume 74, January 2015, Pages 40-48.
[47] Swathi S. Dhage, Sushma Shridhar Hegde, K. Manikantan, S. Ramachandran (2015) DWT-based Feature Extraction and Radon Transform Based Contrast Enhancement for Improved Iris Recognition, Procedia Computer Science, Volume 45, 2015, Pages 256-265.
[48] Saiyed Umer, Bibhas Chandra Dhara, Bhabatosh Chanda (2017) A novel cancelable iris recognition system based on feature learning techniques, Information Sciences, Volumes 406–407, September 2017, Pages 102-118.
[49] Yujin Jung, Dongik Kim, Byungjun Son, Jaihie Kim (2017) An eye detection method robust to eyeglasses for mobile iris recognition, Expert Systems with Applications, Volume 67, January 2017, Pages 178-188.
[50] I. Tomeo-Reyes, V. Chandran (2016) Part based bit error analysis of iris codes, Pattern Recognition, Volume 60, December 2016, Pages 306-317.
[51] Haiqing Li, Qi Zhang, Zhenan Sun (2017) Chapter 5: Iris Recognition on Mobile Devices Using Near-Infrared Images, Human Recognition in Unconstrained Environments, 2017, Pages 103-117.
[52] Soubhagya Sankar Barpanda, Banshidhar Majhi, Panjak Kumar Sa, Arun Kumar Sangaiah, Sambit Bakshi (2018) Iris feature extraction through wavelet mel-frequency cepstrum coefficients, Optics & Laser Technology, In press, corrected proof, Available online 27 March 2018.
[53] Mousumi Sardar, Sushmita Mitra, B. Uma Shankar (2018) Iris localization using rough entropy and CSA: A soft computing approach, Applied Soft Computing, Volume 67, June 2018, Pages 61-69.
[54] Sen Zhang, Yongquan Zhou (2017) Template matching using grey wolf optimizer with lateral inhibition, Optik - International Journal for Light and Electron Optics, Volume 130, February 2017, Pages 1229-1243.
[55] Piyush Samant, Ravinder Agarwal (2018) Machine learning techniques for medical diagnosis of diabetes using iris images, Computer Methods and Programs in Biomedicine, Volume 157, April 2018, Pages 121-128.
[56] Zhitao Lin, De Ma, Jianyi Meng, Linna Chen (2018) Relative ordering learning in spiking neural network for pattern recognition, Neurocomputing, Volume 275, 31 January 2018, Pages 94-106.
[57] Himanshu Rai, Anamika Yadav (2014) Iris recognition using combined support vector machine and Hamming distance approach, Expert Systems with Applications, Volume 41, Issue 2, 1 February 2014, Pages 588-593.
[58] Izem Hamouchene, Saliha Aouat (2014) A New Texture Analysis Approach for Iris Recognition, AASRI Procedia, Volume 9, 2014, Pages 2-7.
[59] Gil Santos, Emanuel Grancho, Marco V. Bernardo, Paulo T. Fiadeiro (2015) Fusing iris and periocular information for cross-sensor recognition, Pattern Recognition Letters, Volume 57, 1 May 2015, Pages 52-59.
[60] Saiyed Umer, Bibhas Chandra Dhara, Bhabatosh Chanda (2015) Iris recognition using multiscale morphologic features, Pattern Recognition Letters, Volume 65, 1 November 2015, Pages 67-74.
[61] Tossy Thomas, Anu George, K.P. Indira Devi (2016) Effective Iris Recognition System, Procedia Technology, Volume 25, 2016, Pages 464-472.
[62] Kamal Hajari, Ujwalla Gawande, Yogesh Golhar (2016) Neural Network Approach to Iris Recognition in Noisy Environment, Procedia Computer Science, Volume 78, 2016, Pages 675-682.
[63] Naglaa F. Soliman, Essam Mohamed, Fikri Magdi, Fathi E. Abd El-Samie, AbdElnaby M. (2017) Efficient iris localization and recognition, Optik - International Journal for Light and Electron Optics, Volume 140, July 2017, Pages 469-475.
[64] Imran Naseem, Affan Aleem, Roberto Togneri, Mohammed Bennamoun (2017) Iris recognition using class-specific dictionaries, Computers & Electrical Engineering, Volume 62, August 2017, Pages 178-193.
[65] Eduardo Garea Llano, Mireya Saraí García Vázquez, Juan M. Colores Vargas, Luis M. Zamudio Fuentes, Alejandro A. Ramírez Acosta (2018) Optimized robust multi-sensor scheme for simultaneous video and image iris recognition, Pattern Recognition Letters, Volume 101, 1 January 2018, Pages 44-51.
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Published
2019-07-31
How to Cite
Al-Ani, M. S. (2019). Efficient Biometric Iris Recognition Based on Iris Localization Approach. UHD Journal of Science and Technology, 3(2), 24–32. https://doi.org/10.21928/uhdjst.v3n2y2019.pp24-32
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