Wavelet and Optimal Requantization Methodology for Lossy Fingerprint Compression
Journal: The International Arab Journal of Information Technology (Vol.8, No. 4)Publication Date: 2011-10-01
Authors : Zahraa Muhsen Maher Dababneh Ayman Al Nsour;
Page : 383-387
Keywords : Software engineering education; reflective learning and teaching; vector quantization; wavelet; 9/7 filter; general VQ; fingerprint; and optimal VQ;
Abstract
Re-quantization is a key technology for reducing the bit rate of compressed data. This reduction of the bit rate; and in certain cases may result in signal quality degradation. Therefore the proposed techniques used 9/7 wavelet transform before optimal re-quantization and finally, the output stream of coding symbols is entropy coded by lossless entropy coder; run-length encoding. Simulation results show that a better low Bit Rate has been obtained compared with other different techniques
Other Latest Articles
- A New OTIS-Arrangment Interconnection Network
- Intelligent e-Learning Framework for Practicing Educational Testing Services
- Malay Isolated Speech Recognition Using Neural Network: A Work in Finding Number of Hidden Nodes and Learning Parameters
- Design and Implementation Biometric Access Control System Using Fingerprint for Restricted Area Based on Gabor Filter
- Morpho-Syntactic Tagging System Based on the Patterns Words for Arabic Texts
Last modified: 2019-04-29 15:26:21