Low complexity image recognition algorithm for handheld applications

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.


Published in:
Proceedings of the 7th Conference on Ph.D. Research in Microelectronics and Electronics, 165-168
Presented at:
7th Conference on Ph.D. Research in Microelectronics and Electronics (PRIME), Madonna di Campiglio, Trento, Italy, July 3-7, 2011
Year:
2011
Publisher:
IEEE
ISBN:
978-1-4244-9136-0
Keywords:
Laboratories:




 Record created 2011-09-09, last modified 2018-03-17

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