Fast Person Identification Using JPEG2000 Compressed ECG Data
碩士 === 國立交通大學 === 電信工程研究所 === 102 === In the wireless telecardiology application, compressed ECG packets are often required for efficient transmission and storage purposes. Compressed ECG data must be decompressed first before applying existing biometric techniques that work on the original signal....
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| Format: | Others |
| Language: | zh-TW |
| Published: |
2014
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| Online Access: | http://ndltd.ncl.edu.tw/handle/51708863517141363528 |
| Summary: | 碩士 === 國立交通大學 === 電信工程研究所 === 102 === In the wireless telecardiology application, compressed ECG packets are often required for efficient transmission and storage purposes. Compressed ECG data must be decompressed first before applying existing biometric techniques that work on the original signal. To achieve a faster patient care, we propose a new method to perform person identification in compressed domain using one-lead ECG signals. First, we apply a preprocessor which converts 1-D ECG signals to 2-D image matrices and compress them by JPEG2000 image coding standard. Feature relating to ECG morphology were then extracted for indexing person identity by texture content in a known enrollment database. Experiments on standard ECG databases demonstrate the validity of the proposed compressed- domain ECG biometric system with an accuracy of 99.50%.
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