Image analysis – Applications – Personnel identification
Patent
1996-10-23
1999-03-16
Kelley, Christopher S
Image analysis
Applications
Personnel identification
382115, 382116, 382124, 382125, 382126, 382263, 382266, 382272, 382274, G06K 900
Patent
active
058839712
ABSTRACT:
A fingerprint image is divided into blocks of pixels. The blocks are determined to be within the foreground or background of the image. Poor quality images are examined to determine if the imaging process is corrupted, e.g. by a wet finger, by determining if a smudginess measure is above a smudginess threshold. For each foreground block, a mean intensity (.mu.) of pixels is computed for those pixels whose intensities are smaller than the mean intensity of all pixels within the respective foreground block. Further the standard deviation (.cuberoot.) of intensities of all pixels within the respective foreground block is computed. For a foreground block with good contrast, .mu. is small and .cuberoot. is large. But for a block with low contrast due to smudginess, .mu. is small and .cuberoot. is small. Subsequently, to measure the contrast (a contrast measure) within a block, a function of the product (C.sub.S) of corresponding .mu. and corresponding .cuberoot. is determined. A comparison is then made to determine whether a block is a smudged block. If the contrast measure is smaller than a smudginess threshold STH1, then the block is classified as a smudged block. If not, the block is classified as a non-smudged block. Embodiment, STH1 is set to 0.12. Lastly, the smudginess measure as the ratio of the number of smudged blocks to total number of foreground blocks is computed. If the resulting ratio is larger than a second threshold, STH2, a smudged impression is reported.
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Bolle Rudolf Maarten
Pankanti Sharathchandra Umapatirao
Yao Yi-Sheng
Chawan Sheela
International Business Machines - Corporation
Kelley Christopher S
Percello Louis J.
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