Retinal Identification System based on Optical Disc Ring Extraction and New Local SIFT-RUK Descriptor
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T. Chihaoui
Abstract
Personal recognition based on retina has been an attractive topic of scientific research. A common challenge of retinal identification system is to ensure a high recognition rate while maintaining a low mismatching FMR rate and execution time. In this context, this paper presents a retinal identification system based on a novel local feature description. The proposed system is composed of three stages, firstly we enhance the retinal image and we select a ring around the optical disc as an interest region by using our recently proposed Optical Disc Ring ODR method. Secondly, in order to reduce the mismatching rate and speed up the matching step, we propose in this paper an original alternative local description based on the Remove of Uninformative SIFT Keypoints, that we call SIFT-RUK. Finally, the generalization of Lowe’s matching technique (g2NN test) is employed. Experiments on the VARIA database are done to evaluate the performance of our proposed SIFT-RUK feature-based identification system. We show that we obtain a high performance with 99.74% of identification accuracy rate without any mismatching (0% of False Matching Rate FMR) and with a low matching processing time compared to existing identification systems.
Abstract
Personal recognition based on retina has been an attractive topic of scientific research. A common challenge of retinal identification system is to ensure a high recognition rate while maintaining a low mismatching FMR rate and execution time. In this context, this paper presents a retinal identification system based on a novel local feature description. The proposed system is composed of three stages, firstly we enhance the retinal image and we select a ring around the optical disc as an interest region by using our recently proposed Optical Disc Ring ODR method. Secondly, in order to reduce the mismatching rate and speed up the matching step, we propose in this paper an original alternative local description based on the Remove of Uninformative SIFT Keypoints, that we call SIFT-RUK. Finally, the generalization of Lowe’s matching technique (g2NN test) is employed. Experiments on the VARIA database are done to evaluate the performance of our proposed SIFT-RUK feature-based identification system. We show that we obtain a high performance with 99.74% of identification accuracy rate without any mismatching (0% of False Matching Rate FMR) and with a low matching processing time compared to existing identification systems.
Chapters in this book
- Frontmatter I
- Preface of the Editors V
- Advances in Systems, Signals and Devices VII
- Editorial Board Members VIII
- Advances in Systems, Signals and Devices XI
- Contents XIII
- New Proposed Adaptive Beamforming Algorithms Based on Merging CGM and NLMS methods 1
- Efficient Hardware Architecture of DCT Cordic based Loeffler Compression Algorithm for Wireless Endoscopic Capsule 23
- Exploring the Physical Characteristics of an On-chip Router for its Integration in a 3D-mesh NoC 37
- Compact High Speed Hardware for SHA-2 on FPGA 47
- An Extensible Platform for Smart Home Services 61
- Fuzzy-Based Gang Scheduling Approach for Multiprocessor Systems 81
- A Robust Multiple Watermarking Scheme Based on the DWT 97
- Retinal Identification System based on Optical Disc Ring Extraction and New Local SIFT-RUK Descriptor 113
- An Optimized Hardware Architecture of 4×4 Intra Prediction for HEVC Standard 127
- Arabic Continuous Speech Recognition Based on Hybrid SVM/HMM Model 145
- Enhancing the Odd Peaks Detection in OFDM Systems Using Wavelet Transforms 161
- Methodology for Analysis of Direct Sampling Receiver Architectures from Signal Processing and System Perspective 175
- A Hybrid PAPR Reduction Scheme for OFDM Using SLM with Clipping at the Transmitter, and Sparse Reconstruction at the Receiver 197
- Mobile Workflow Management System Architecture Taking into Account Relevant Security Requirements 217
Chapters in this book
- Frontmatter I
- Preface of the Editors V
- Advances in Systems, Signals and Devices VII
- Editorial Board Members VIII
- Advances in Systems, Signals and Devices XI
- Contents XIII
- New Proposed Adaptive Beamforming Algorithms Based on Merging CGM and NLMS methods 1
- Efficient Hardware Architecture of DCT Cordic based Loeffler Compression Algorithm for Wireless Endoscopic Capsule 23
- Exploring the Physical Characteristics of an On-chip Router for its Integration in a 3D-mesh NoC 37
- Compact High Speed Hardware for SHA-2 on FPGA 47
- An Extensible Platform for Smart Home Services 61
- Fuzzy-Based Gang Scheduling Approach for Multiprocessor Systems 81
- A Robust Multiple Watermarking Scheme Based on the DWT 97
- Retinal Identification System based on Optical Disc Ring Extraction and New Local SIFT-RUK Descriptor 113
- An Optimized Hardware Architecture of 4×4 Intra Prediction for HEVC Standard 127
- Arabic Continuous Speech Recognition Based on Hybrid SVM/HMM Model 145
- Enhancing the Odd Peaks Detection in OFDM Systems Using Wavelet Transforms 161
- Methodology for Analysis of Direct Sampling Receiver Architectures from Signal Processing and System Perspective 175
- A Hybrid PAPR Reduction Scheme for OFDM Using SLM with Clipping at the Transmitter, and Sparse Reconstruction at the Receiver 197
- Mobile Workflow Management System Architecture Taking into Account Relevant Security Requirements 217
