Title: | SIGNAL RICH ART IMAGE - A NEW TOOL FOR AUTOMATIC IDENTIFICATION AND DATA CAPTURE APPLICATIONS USING MOBILE PHONES |
Authors: | Lee, Ya-Lin Tsai, Wen-Hsiang 資訊工程學系 Department of Computer Science |
Keywords: | signal rich art;automatic identification and data capture;barcodes;QR codes;signal rich art image |
Issue Date: | 2013 |
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. |
URI: | http://hdl.handle.net/11536/23529 |
ISBN: | 978-1-4799-0356-6 |
ISSN: | 1520-6149 |
Journal: | 2013 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH AND SIGNAL PROCESSING (ICASSP) |
Begin Page: | 1942 |
End Page: | 1946 |
Appears in Collections: | Conferences Paper |