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Low complexity image recognition algorithm for handheld applications

机译:用于手持应用的低复杂度图像识别算法

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摘要

We propose a low complexity image recognition algorithm based on Content Based Image Retrieval (CBIR) suitable for handheld applications. The target application is an Alternative and Augmentative Communication (AAC) device used in speech rehabilitation and education. The device recognizes images (pictograms and pictures) and plays a sound message associated with the recognized image. Experimental validation of the proposed algorithm using MATLAB and its DSP implementation is presented.
机译:我们提出了一种基于内容的图像检索(CBIR)的低复杂度图像识别算法,适用于手持式应用。目标应用是语音康复和教育中使用的替代和增强通信(AAC)设备。设备识别图像(象形图和图片)并播放与识别的图像关联的声音消息。提出了使用MATLAB及其DSP实现对该算法进行实验验证。

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