Title :
Signal rich art image — A new tool for automatic identification and data capture applications using mobile phones
Author :
Ya-Lin Lee ; Wen-Hsiang Tsai
Author_Institution :
Dept. of Comput. Sci., Nat. Chiao Tung Univ., Hsinchu, Taiwan
Abstract :
A new tool, called signal-rich-art image, for automatic identification and data capture applications is proposed, which is created from an artistic target image for use as a carrier of a given message. The created image is visually similar to the target image, achieving the effect of so-called signal rich art. With its function similar to those of barcodes or QR codes, such a type of image is produced by fragmenting the composing characters of the message and injecting them into the target image by a novel image-block luminance modulation scheme. Skillful techniques are also proposed for message extraction from a mobile phone-captured version of the signal-rich-art image printed on paper or displayed on a screen. Good experimental results show the feasibility of the proposed method.
Keywords :
computer vision; mobile computing; artistic target image; automatic identification; data capture; image-block luminance modulation scheme; message extraction; mobile phone-captured version; signal rich art image; Accuracy; Art; Modulation; Noise measurement; Optical character recognition software; Transforms; Visualization; QR codes; automatic identification and data capture; barcodes; signal rich art; signal rich art image;
Conference_Titel :
Acoustics, Speech and Signal Processing (ICASSP), 2013 IEEE International Conference on
Conference_Location :
Vancouver, BC
DOI :
10.1109/ICASSP.2013.6637992