| 词条 | Wavelet scalar quantization |
| 释义 |
The Wavelet Scalar Quantization algorithm (WSQ) is a compression algorithm used for gray-scale fingerprint images. It is based on wavelet theory and has become a standard for the exchange and storage of fingerprint images. WSQ was developed by the FBI, the Los Alamos National Laboratory, and the National Institute of Standards and Technology (NIST). This compression method is preferred over standard compression algorithms like JPEG because at the same compression ratios WSQ doesn't present the "blocking artifacts" and loss of fine-scale features that are not acceptable for identification in financial environments and criminal justice. [1]Most American law enforcement agencies use WSQ for efficient storage of compressed fingerprint images at 500 pixels per inch (ppi). For fingerprints recorded at 1000 ppi, law enforcement (including the FBI) uses JPEG 2000 instead of WSQ.[2] See also
References1. ^{{cite book|last1=Jain|first1=Anil|last2=Pankanti|first2=Sharath|title=Advances in Fingerprint Technology|chapter=Automated Fingerprint Identification and Imaging Systems|year=2001|publisher=CRC Press|isbn=978-0-8493-0923-6|pages=275–326|url=http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.21.380|edition=2nd}} 2. ^Fingerprint External links
3 : Graphics file formats|Lossy compression algorithms|Fingerprints |
| 随便看 |
|
开放百科全书收录14589846条英语、德语、日语等多语种百科知识，基本涵盖了大多数领域的百科知识，是一部内容自由、开放的电子版国际百科全书。