A fast recognition algorithm is presented for interesting region extraction of an object based on corner features.
本文给出了一种基于角特征的目标兴趣区的识别算法。
Fast Template Matching (FTM) is a very practical, effective realtime speech recognition algorithm, especially suitable for command recognition system.
快速模板匹配(FTM)是一种非常实用高效的实时语音识别算法，尤其适用于命令识别系统。
The system combines image processing and pattern recognition techniques. We present a fast and reliable face location algorithm based on template matching.
系统采用了图像处理和模式识别等技术，提出了一种基于模板匹配的快速人脸定位算法。
Finally, the algorithm was transplanted onto the hardware system, then the optimization policy was applied, and fast embedded face recognition system was implemented.
最后，在设计的硬件系统上进行算法移植，详细介绍了系统的优化方案，实现了嵌入式快速人脸识别系统的研制。
Experimental results on face image databases demonstrate that the proposed algorithm not only has fast running speed, but also achieves higher recognition accuracy.
在人脸数据库上的实验结果表明，该算法的运算速度较快，识别准确率较高。
Experimental results on face image databases demonstrate that the proposed algorithm not only has fast running speed, but also achieves higher recognition accuracy.
在人脸数据库上的实验结果表明，该算法的运算速度较快，识别准确率较高。
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