Wuhan Homsh Technology Co., Ltd. has recently secured two invention patents representing significant technological breakthroughs: "Multi-Algorithm Fusion Pupil Boundary Detection Method and System" and "Iris Image Quality Assessment Method and System." The successful development of these patents not only showcases Hongshi Technology's deep expertise in the iris recognition field but also marks a substantial leap forward in its innovation capabilities in computer vision and biometric recognition technology.
Patent 1: Multi-Algorithm Fusion Pupil Boundary Detection Method and System
Solving Industry Pain Points by Enhancing Detection Accuracy
Accurate pupil boundary detection is the critical first step in iris segmentation, directly impacting the overall performance of any iris recognition system. However, challenging real-world conditions like complex lighting, noise interference, and unstable image quality often render traditional single-algorithm approaches ineffective across diverse scenarios.
Homsh Technology has innovatively proposed a multi-algorithm fusion pupil boundary detection method. By cascading three complementary detection algorithms – Hough Circle Transform, Adaptive Thresholding with Contour Detection, and Fixed Thresholding with Morphological Operations – the system achieves high-precision pupil boundary detection on iris images under various environmental conditions.
Key Technological Innovations
This patent incorporates several technological advancements:
1.Multi-algorithm Synergy: Complementary strengths of different algorithms significantly boost system robustness.
2.Biological Feature Verification: Results are validated based on the biological characteristics of the pupil, effectively eliminating false detections.
3.Multi-scale Preprocessing: Multi-stage image processing enhances image quality, laying a solid foundation for subsequent detection.
4.Shape Adaptation: Optimizes detection to accommodate shape variations of the pupil under different viewing angles, improving accuracy.
5.These innovations ensure high-precision pupil boundary detection in complex environments, providing a solid foundation for the stable operation of iris recognition systems.
Patent 2: Iris Image Quality Assessment Method and System
Comprehensive Evaluation Ensuring Recognition Reliability
Iris image quality directly affects recognition accuracy. Addressing the limitations of existing methods, which often focus on single dimensions and lack robustness, Hongshi Technology has developed a multi-dimensional, highly robust iris image quality assessment system.
This system employs innovative technical solutions to comprehensively evaluate iris images from multiple angles, including usable iris area, contrast analysis, geometric characteristics, and image sharpness. This ensures subsequent recognition algorithms process only high-quality images.
Key Technological Innovations
The core innovations of this patent include:
1.Adaptive Pupil Detection & Verification: Leverages pupil region characteristics for verification, enhancing boundary detection reliability.
2.Intelligent Eyelid & Eyelash Detection: Precisely identifies occlusion areas, optimizing usable iris area calculation.
3.Weber Contrast Assessment: Scientifically quantifies grayscale differences in key areas based on the human visual perception model.
4.Entropy-based Grayscale Utilization Assessment: Analyzes the richness of grayscale distribution in iris texture, adding a crucial evaluation dimension.
5. Adjustable Weight Scoring System: Allows customization of metric weights based on application needs for personalized assessment.
6.Interactive Adjustment & Visualization: Supports manual intervention and result export, improving user experience.
Technical Value & Application Prospects
These two complementary patent technologies form a complete technical chain from image acquisition to quality assessment, providing fundamental support for iris recognition systems. By tackling long-standing industry challenges, Hongshi's innovations not only enhance technical performance metrics but also pave the way for practical multi-sector applications.
Core Technical Value
1.Significantly Improved Accuracy: The multi-algorithm fusion pupil detection notably boosts recognition accuracy, especially under complex lighting and non-ideal capture conditions.
2.Drastically Reduced Error Rates: The quality assessment system effectively filters out low-quality images, substantially lowering false acceptance/rejection rates to meet financial-grade security standards.
3.Enhanced Adaptability: The system shows greatly improved adaptability across different ethnicities and unique eye characteristics, expanding recognition to wider populations.
4.Optimized Computational Efficiency: Compared to traditional deep learning methods, this patented technology maintains high accuracy while reducing computational resource demands, making it ideal for embedded device deployment.
Multi-Sector Application Prospects
Financial Payment Security:
1.Mobile payment biometric verification: Provides a more secure authentication layer for mobile banking and third-party payment platforms, effectively preventing fraud.
2.ATM cardless withdrawals: Enables secure and convenient cash withdrawals via iris recognition, reducing card skimming risks.
3.High-value financial transactions: Serves as a critical component in multi-factor authentication for large transfers or access to valuables.
Smart Device Unlocking & Interaction
1.Next-gen smartphone unlocking: Offers a higher security level compared to fingerprint or facial recognition.
2.Smart home personalization: Enables precise household member recognition for automatic personalized settings.
3.In-car driver authentication: Prevents unauthorized driving and monitors driver fatigue, enhancing road safety.
Human-Computer Interaction & Metaverse
1.AR/VR eye-tracking: Provides millimeter-precision gaze tracking for natural interaction in augmented/virtual reality.
2.Affective computing foundation: Analyzes pupil dilation for user emotional response, supporting emotion AI.
3.Metaverse identity: Establishes secure and reliable identity verification within virtual worlds to protect digital assets.
Public Safety & Large Events
1.Seamless access systems: Enables rapid, contactless identity verification and access management in airports, stations, stadiums.
2.Real-name event entry: Provides efficient ticket verification for concerts and sports events, improving security.
3.Sensitive area access control: Delivers high-security solutions for data centers and critical infrastructure.
Company Strategy & Future Outlook
Wuhan Homsh Technology remains committed to innovation, continuing to deepen its expertise in iris recognition and biometrics. The company will actively productize and commercialize these patented technologies to deliver safer, more convenient, and reliable recognition solutions.
Looking ahead, Homsh will increase R&D investment, exploring deeper integration of iris recognition with cutting-edge technologies like Artificial Intelligence, Big Data, and Cloud Computing. The goal is to drive innovative applications of biometric technology across broader fields, contributing significantly to the secure development of our digital society.
