Cognaxon has released "WSQ image library" for Texas Instruments family microprocessors (embedded systems).
Importance of WSQ format: Electronic fingerprints submitted to the FBI either through Integrated Automated Fingerprint Identification System (IAFIS), or Electronic Fingerprint Image Print System (EFIPS) may not be compressed with any technique other than WSQ.
WSQ image format is superior to other compression methods. Most lossy compression methods, such as JPEG, discard the smallest (highest frequency) details in images, and at higher compression ratios unacceptably distort the image. Contained within fingerprints are tiny details that are considered admissible points of identification in a court of law. To JPEG, these details may be regarded as noise and removed. The JPEG quantization matrix also allows blocking artifacts to occur in the image at compression ratios above about 10:1. Shifting bits to the high frequencies to preserve small details will only make the blocking worse. Lossless compression methods, such as LZW and JBIG, cannot achieve the high compression ratios of WSQ on fingerprint data, with 2:1 typically being the best. WSQ is a lossy compression method that is well-suited for preserving the very high resolution details of grayscale images while maintaining high compression ratios of typically 12:1 to 15:1 on image s that have not undergone "quality enhancements" (such as histogram equalization) to improve the appearance of the image.
Adding WSQ image library to your existing projects is very easy. Only3 simple steps and a few lines of code are needed.
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