01849nas a2200229   4500008004100000245008100041210006900122260000900191300001400200490000600214520112500220653001601345653001801361653002201379653001901401653001701420100002101437700001501458700001401473700001501487856011701502       2007                        eng d00aA non reference fingerpint image validity via statistical weight calculation0 anon reference fingerpint image validity via statistical weight c  c2007  a220 - 2240 v53 aClarity of fingerprint image structure is crucial for many fingerprint applications, as well as the performance of built systems which relies on the validity and quality of captured images. Validity check will eliminate invalid images before starting the life cycle of fingerprint metadata enrolling for system processing cycle; therefore the overall benchmarking system accuracy will not be affected by rejecting an invalid image before getting in the system cycle. In this paper we propose a validity check algorithm (VCA). The VCA is applied to the base image eiement statistical weight calculation because the image element (pixel) describes an image object with the contrast, brightness, clarity and noising attributes. Our algorithm depends on fingerprint object segmentation, background subtraction, total image thresholding and pixel weight calculation. A VTC200ODB1_B, TIMA databases was used to evaluate the VCA and it has been compared with NIST fingerprint image quality results. Correlation results indicate that the proposed algorithm is feasible in detecting low quality as well as non-fingerprint images.10aFingerprint10aImage quality10aImage subtraction10aOtsu threshold10aSegmentation1 aAltarawneh, M.S.1 aKhor, L.C.1 aWoo, W.L.1 aDlay, S.S.  uhttp://www.scopus.com/inward/record.url?eid=2-s2.0-44949123442&partnerID=40&md5=c56872a67fd18e70e84324f95df34eaf