A compression method is proposed based on the wavelet transform and self-organizing feature mapping (SOFM) neural network, in order to store the certificate image into the two-dimensional barcode, and at the same time, hold the image quality which must satisfy the requirement of true or false identification under high compression rate. The different sub-band coefficients of wavelet transform are quantized by SOFM with different quantization levels. The high efficient compression of the identification (ID) Card image is gained using an adaptive resolution combination method based on sub-block clustering encoding which encodes the sub-band coefficients after quantization. The experimental results show that this method has higher performance than JPEG.
|ホスト出版物のタイトル||Proceedings of the World Congress on Intelligent Control and Automation (WCICA)|
|出版ステータス||Published - 2004|
|イベント||WCICA 2004 - Fifth World Congress on Intelligent Control and Automation, Conference Proceedings - Hangzhou|
継続期間: 2004 6月 15 → 2004 6月 19
|Other||WCICA 2004 - Fifth World Congress on Intelligent Control and Automation, Conference Proceedings|
|Period||04/6/15 → 04/6/19|
ASJC Scopus subject areas