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Palm print authentication system for biometric applications

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Palm print authentication system for biometric applications

ORDINARY APPLICATION

Published

date

Filed on 5 November 2024

Abstract

This invention introduces a real-time secure text transmission system using video steganography to embed sensitive text data within video streams for confidential communication. The system leverages video frames to hide information without affecting the video quality, making the presence of hidden data undetectable by conventional means. The system supports real-time embedding and extraction of text data, making it suitable for live streaming, video conferencing, and pre-recorded video transmission. Key features include high embedding capacity, robustness against video compression and processing, and the integration of encryption for added security, ensuring that even if the hidden data is discovered, it remains protected. The system operates with low computational overhead and can be deployed on various hardware platforms while maintaining seamless integration with existing video systems like CCTV networks, streaming services, or video conferencing platforms. This invention is ideal for secure communication in environments such as military operations, corporate communications, government agencies, and healthcare, where real-time, confidential data exchange is crucial. The system offers a scalable, efficient, and stealthy solution for transmitting sensitive information without detection.

Patent Information

Application ID202441084479
Invention FieldCOMPUTER SCIENCE
Date of Application05/11/2024
Publication Number46/2024

Inventors

NameAddressCountryNationality
Dr. Bhramara Bar Biswal Assistant Professor, GIETU, OdishaGandhi Institute of Engineering and Technology University, Odisha, GunupurIndiaIndia
PILLA SRI LEKHA Assistant Professor, VITVishnu Institute of TechnologyIndiaIndia
Mr.VALLEM RANADHEER REDDY Assistant Professor, MRECW, TelanganaMALLA REDDY ENGINEERING COLLEGE FOR WOMEN'S, Maisammaguda, Kompally, Medchal, Telangana,India -500100IndiaIndia
Dr.K.V.Lalithabhavani Assoc. Professor, Dept. of ECE, AITM, APAditya Institute of Technology and Management, TekkaliIndiaIndia
Dr. Kiran Mannem Associate Professor, GRIET, TelanganaGokaraju Rangaraju Institute of Engineering and Technology, Bachupally,Nizampet Rd, Kukatpally, Hyderabad, Telangana PINCODE : 500090IndiaIndia
R. DEVI Assistant Professor, SRKRECSRKR ENGINEERING COLLEGEIndiaIndia
Dr. Devavarapu Sreenivasara Assistant Professor, Dept. of CSE, SIST, TelanganaSreenidhi Institute of Science and Technology, Yamnampet, Ghatkesar, Hyderabad, Telangana, India.IndiaIndia
Ms.Sruthi Yenninti Assistant Professor, ANITS, APANITS, Sangivalasa, Visakhapatnam-531162IndiaIndia

Applicants

NameAddressCountryNationality
Dr. Bhramara Bar Biswal Assistant Professor, GIETU, OdishaGandhi Institute of Engineering and Technology University, Odisha, GunupurIndiaIndia
PILLA SRI LEKHA Assistant Professor, VITVishnu Institute of TechnologyIndiaIndia
Mr.VALLEM RANADHEER REDDY Assistant Professor, MRECW, TelanganaMALLA REDDY ENGINEERING COLLEGE FOR WOMEN'S, Maisammaguda, Kompally, Medchal, Telangana,India -500100IndiaIndia
Dr.K.V.Lalithabhavani Assoc. Professor, Dept. of ECE, AITM, APAditya Institute of Technology and Management, TekkaliIndiaIndia
Dr. Kiran Mannem Associate Professor, GRIET, TelanganaGokaraju Rangaraju Institute of Engineering and Technology, Bachupally,Nizampet Rd, Kukatpally, Hyderabad, Telangana PINCODE : 500090IndiaIndia
R. DEVI Assistant Professor, SRKRECSRKR ENGINEERING COLLEGEIndiaIndia
Dr. Devavarapu Sreenivasara Assistant Professor, Dept. of CSE, SIST, TelanganaSreenidhi Institute of Science and Technology, Yamnampet, Ghatkesar, Hyderabad, Telangana, India.IndiaIndia
Ms.Sruthi Yenninti Assistant Professor, ANITS, APANITS, Sangivalasa, Visakhapatnam-531162IndiaIndia

Specification

Description:The Palm Print Authentication System in Fig. 1 is a biometric identification technology that captures and analyzes the unique patterns found on an individual's palm to authenticate their identity securely. The system uses a high-resolution scanner to capture an image of the palm, extracting distinct features such as principal lines, ridges, wrinkles, and minutiae points. These features are processed using advanced feature extraction algorithms to create a unique biometric template.
Key Components and Features:
1. Palm Image Capture:
o The system uses a high-resolution imaging device to capture the detailed patterns of the user's palm. It may operate in a contactless or low-contact manner, ensuring both hygiene and convenience during the authentication process.
2. Feature Extraction and Matching:
o Once the palm print is captured, the system uses image processing algorithms to extract critical features, such as the principal lines and ridges. These extracted features are then compared with pre-enrolled templates in a secure database to verify the individual's identity.
3. Secure Template Storage:
o The extracted features are stored as encrypted biometric templates in the system's database, ensuring that the user's sensitive biometric data is protected from unauthorized access.
4. Real-Time Authentication:
o The system offers fast and accurate authentication, making it suitable for environments requiring real-time identity verification, such as access control, banking, and healthcare.
5. Environmental Resilience:
o Designed to work under various conditions, the system is robust against different lighting environments, wet or dry skin, and other external factors, ensuring consistent and reliable performance.
6. Scalability and Integration:
o The system is highly scalable and can be easily integrated into existing security infrastructures, such as corporate access control systems, banking platforms, or mobile devices, offering flexible deployment options.
The Palm Print Authentication System offers robust operational performance, designed to ensure high accuracy, speed, security, and reliability across various biometric applications. The system leverages advanced image processing and pattern recognition technologies to provide efficient, real-time authentication while maintaining a high level of user convenience.
Key Aspects of Operational Performance:
1. High Accuracy and Reliability
• The system is built to capture intricate palm print patterns, such as principal lines, ridges, and minutiae points, ensuring that the biometric data used for authentication is highly accurate. This reduces the likelihood of false positives (unauthorized users being granted access) and false negatives (authorized users being denied access).
• The unique palm print features are more complex and diverse compared to other biometric data like fingerprints, making the system extremely reliable for verifying individuals, even in high-security environments.
2. Fast and Real-Time Authentication
• The system processes and matches palm print data in real time, ensuring fast user authentication. The entire process-from capturing the palm print to verifying the identity-can be completed in a matter of seconds.
• This high-speed operation is crucial for environments with large user throughput, such as corporate offices, airports, or government buildings, where swift access control is required without causing delays.
3. Contactless or Low-Contact Operation
• The system supports contactless or low-contact palm scanning, providing a hygienic solution, especially important in public environments, healthcare facilities, or high-traffic areas. Users can authenticate by simply placing their hand near the scanner, without needing to touch a surface.
• This reduces wear and tear on the equipment and mitigates concerns about cross-contamination or hygiene, particularly in post-pandemic settings.
4. Robustness to Environmental Variations
• The system is designed to operate effectively under varying environmental conditions, including different lighting conditions, skin textures (wet or dry), or temperature variations. This ensures that the system performs consistently and reliably, even in challenging environments such as outdoor facilities or industrial settings.
• Advanced image correction algorithms ensure that the system can handle differences in palm orientation or slight movements, maintaining a high level of accuracy regardless of external factors.
5. Scalability for Large Deployments
• The system is scalable and can support thousands of users in environments where large-scale access control is needed, such as corporate campuses, educational institutions, government offices, or banking systems.
• The system can integrate seamlessly with existing enterprise-level access control systems, providing a unified, scalable solution that can manage multiple access points and large volumes of authentication requests.
, C , C , Claims:
1. We claim that this system achieves secure access control and identity verification in sensitive environments
2. We claim that the system ensures the system processes palm print scans in a matter of seconds.
3. We claim that the invention ensures the system consistently delivers accurate authentication.
4. We claim that the system delivers a cost-effective and durable biometric solution.

Documents

NameDate
202441084479-COMPLETE SPECIFICATION [05-11-2024(online)].pdf05/11/2024
202441084479-DECLARATION OF INVENTORSHIP (FORM 5) [05-11-2024(online)].pdf05/11/2024
202441084479-DRAWINGS [05-11-2024(online)].pdf05/11/2024
202441084479-FORM 1 [05-11-2024(online)].pdf05/11/2024
202441084479-FORM-9 [05-11-2024(online)].pdf05/11/2024
202441084479-REQUEST FOR EARLY PUBLICATION(FORM-9) [05-11-2024(online)].pdf05/11/2024

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