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We know that fingerprint is key point of the vital bio metric technologies for human recognition that have scooped a big amount of consideration recently. This paper proposed fingerprint recognition by containing a very accurate recognized method. Here first we calculate enhance binary image by using morphological and histogram enhancement method, after that identifies all minutias with coordinate...
For embedded systems, Finite Word Length (FWL) effect is still a critical issue in digital filter implementation with fixed-point arithmetic. Few partial solutions exist, but none tackles it in its global nature and consider the complete tradeoff between performance, precision, complexity and hardware cost. This paper proposes to formalize this complex problem and exhibits a unifying approach for...
With new advances in ambulatory monitoring new challenges appear due to degradation in signal quality and limitations in hardware requirements. Existing signal analysis methods should be re-evaluated in order to adapt to the restrictive requirements of these new applications. With this motivation, we chose a robust beat detection algorithm and optimized it further to be running in an embedded platform...
The boosting algorithm which we introduce is a representational ensemble classification methodology. It is well known that the boosting algorithm can improve the accuracy of any given learning algorithm and train the strong classifiers efficiently. A specific embedded hardware is designed for target identification task. This paper also evaluates the performance and implementation issues for the boosting...
Embedded systems are evolving from traditional, stand-alone devices to devices that participate in Internet activity. The days of simple, manifest embedded software [e.g. a simple finite-impulse response (FIR) algorithm on a digital signal processor (DSP] are over. Complex, nonmanifest code, executed on a variety of embedded platforms in a distributed manner, characterizes next generation embedded...
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