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首页> 美国政府科技报告 >Comparison of the WSQ and JPEG 2000 Image Compression Algorithms on 500 ppi Fingerprint Imagery. NIST Interagency Report 7781.
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Comparison of the WSQ and JPEG 2000 Image Compression Algorithms on 500 ppi Fingerprint Imagery. NIST Interagency Report 7781.

机译：500 ppi指纹图像的WsQ和JpEG 2000图像压缩算法比较。 NIsT机构间报告7781。

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摘要

The criminal justice communities throughout the world exchange fingerprint imagery data primarily in 8-bit grayscale and at a resolution of 500 pixels per inch (ppi) or 19.7 pixels per millimeter (ppmm). The Wavelet Scalar Quantization (WSQ) fingerprint image compression algorithm is currently the standard algorithm for the compression of 500 ppi fingerprint imagery in the United States. WSQ is a glossy compression algorithm. Lossy compression algorithms employ data encoding methods which discard (lose) some of the data in the encoding process in order to achieve a reduction in the digital file size of the data being compressed. Decompressing the resulting compressed data yields output that, while different from the original, is similar enough to the original that it remains useful for the intended purpose. The WSQ algorithm allows for users of the algorithm to specify how much compression is to be applied to the fingerprint image at the cost of increasingly greater loss in fingerprint image fidelity as the effective compression ratio is increased. The WSQ Grayscale Fingerprint Image Compression Specification (WSQ) provides guidance based on an International Association for Identification (IAI) study (FITZPATRICK) to determine the acceptable amount of fidelity loss due to compression in order for a WSQ encoder and decoder to meet FBI certifications.

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