Abstract
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.
| Original language | English |
|---|---|
| Title of host publication | Proceedings of the World Congress on Intelligent Control and Automation (WCICA) |
| Pages | 4101-4104 |
| Number of pages | 4 |
| Volume | 5 |
| Publication status | Published - 2004 |
| Externally published | Yes |
| Event | WCICA 2004 - Fifth World Congress on Intelligent Control and Automation, Conference Proceedings - Hangzhou Duration: 2004 Jun 15 → 2004 Jun 19 |
Other
| Other | WCICA 2004 - Fifth World Congress on Intelligent Control and Automation, Conference Proceedings |
|---|---|
| City | Hangzhou |
| Period | 04/6/15 → 04/6/19 |
Keywords
- 2D Barcode
- Adaptive resolution
- Image compression
- SOFM neural network
- Wavelet transform
ASJC Scopus subject areas
- Control and Systems Engineering