An embedded iris recognizer for portable and mobile devices

Software-intensive systems play an increasingly dominant role in our lives and daily activities Several applications, in which a timely response to 1151:1 and environment stimulus is essential, require real-time software intensive systems Computation-intensive applications, such as video compression, control systems, security systems, result in significant growth for processor workload To address the above issues, one possible solution is to design embedded specialized components At the same time, the integration of new features in portable and mobile devices is rapidly increasing Several services and applications require robust user authentication or access to services, data, and resources In this work, an embedded ins-based recognizer is proposed to overcome some of the most Common limits of real-tin)e software-intensive systems such as response time, used resources and power consumption Starting from the ophthalmologic study on ins micro-features, user authentication is based on nucleus and collarette minutiae The whole recognizer has been prototyped through the Celoxica RC203E board, equipped with a;am. 3M Virtexll FPGA, using the Handel-C algorithimic-like hardware programming language Experimental tests, performed using the widely used CASIA database, have shown FAR (False Acceptance Rate) = 0% and RR (False Rejection Rate) = 8%, while the whole estimated ins processing and recognition process requires 139 05 mW (logic cell power consumption)