A Compression Framework for Personal Image Used in Mobile RFID System

Radio frequency identification (RFID), a novel automatic identification technology, has been widely used in modern society. To improve the security of RFID card, a novel idea of inserting personal image to the card and restoring it rapidly on the mobile device is proposed in this paper. A compression framework based on facial feature is proposed to solve the key problem caused by memory limitation of RFID card and resource limitations of the mobile system. In this framework, the facial region is detected and extracted at first, and then compressed with high compression ratio using fast lifting wavelet transform. After that, the compressed data is encoded and saved in the card. Experimental results indicate that higher compression ratio, better image quality and rapid decompression can be achieved by using this framework.