Touchless Biometrics ¢ Capture and Matching (TB-CAM)

The Touchless Biometrics ¢ Capture and Matching (TB-CAM) solution, developed for Android smartphones, offers a significant upgrade to traditional biometric systems, focusing on capturing and processing multiple biometric modalities such as fingerprints, face, iris, and voice recognition. This innovative approach utilizes convolutional neural networks (CNNs) for advanced image processing and matching algorithms, enabling the Army to use commercial electronics for efficient biometric collection and verification. The system ensures compatibility with existing databases and incorporates Presentation Attack Detection (PAD) to counter sensor-based security threats. Its interoperability with legacy systems and the ability to process and match biometrics in challenging environments underline its strategic importance. TB-CAM enables both online and offline operation, seamless integration with Android platforms, and the use of existing hardware, eliminating the need for additional devices. TB-CAM's contactless nature allows for operation in diverse conditions, including those where traditional biometric collection may be hindered by protective gear. The development of machine learning algorithms, specifically CNNs, facilitates the transformation of 3D finger images into 2D prints compatible with legacy systems, enhancing identification accuracy under various conditions. This multimodal solution advances secure and adaptable biometric technology, offering a comprehensive alternative to existing systems and meeting the operational needs of modern security applications.