ABSTRACT
This paper presents a novel embedded palm vein biometric hardware system based on field programmable gate array (FPGA). In addition, embedded biometric identification system is a low cost equipment, that is, low power. The FPGA support hardware and software co-designs and provides a cost-effective and real-time performance [13]. Computationally intensive system (large amount of data) requires hardware and software co-design in an acceleration manner. The module is composed of an image sensor OV2640, whose active power is 125 mW, working in YUV mode. In order to ensure high quality image acquisition and high recognition accuracy, an image acquisition system we adopt is the embedded camera, the dynamic quality evaluation based on light [14]. In addition, the circuit is designed for boost converter, driving infrared light emitting diode (LED) to capture images of different levels in the lighting array. In this paper, a kind of palm vein image evaluation of two-dimensional (2-D) entropy method based on the model is suitable for hardware implementation.
