EHMM人眼状态识别算法中的2D-DCT IP核设计  

Implementation of 2D-DCT IP Core in EHMM Eyes' Status Recognition

作　　者：黄河[1] 秦华标[1] 

机构地区：[1]华南理工大学电子与信息学院,广东广州510640

出　　处：《计算机测量与控制》2010年第2期450-453,共4页Computer Measurement &Control

基　　金：广东省科技计划项目(2006A10503002)

摘　　要：EHMM人眼状态识别算法具有较高的识别率但算法复杂,因此利用SOPC开发平台设计了一种基于行列变换快速算法的2D-DCT IP核以提高处理速度;根据眼状态识别只需取2D-DCT后左上角部分子矩阵数据的特点,对其计算过程进一步优化;并引入了转置存储技术,浮点数乘法通过移位后转化为定点乘法器实现,优化了硬件资源,提高了处理速度;实验结果表明该IP核很好地实现了人眼图像灰度值的DCT变换。Eyes＇ status identification algorithm based on EHMM （Embedded Hidden Markov Model） has high recognition rate but very complex , therefore, to enhance processing speed a 2D-DCT IP core with fast transform algorithm is implemented on SOPC platform. Since the eyes＇ status recognition only need the to Pleft corner partial matrix of DCT transforrnation, the computational process is further opti mized. By the using of transposition storage technology and using the fixed point multiplier instead of the floating number multiplication , the hardware is optimized and the processing speed is improved. The experiment results indicate it has achieved the anticipated goal very well.

关 键 词：2D-DCT SOPC IP核 人眼状态识别 

分 类 号：TP391.4[自动化与计算机技术—计算机应用技术]