Hi Jim, Another thing I am wondering is - even if you have a metric for comparing two images (which I admit I didn't come across and I don't know how to approach), would that be enough to decide if two images are "close" or not? My guess is that no - one would also need a database of other fingerprints, to compare how much a particular image is closer to another image, compared to how other images are close to that image.
Tal ----------------Contact Details:------------------------------------------------------- Contact me: tal.gal...@gmail.com | 972-52-7275845 Read me: www.talgalili.com (Hebrew) | www.biostatistics.co.il (Hebrew) | www.r-statistics.com (English) ---------------------------------------------------------------------------------------------- On Sun, Apr 4, 2010 at 1:55 AM, Jim Lemon <j...@bitwrit.com.au> wrote: > On 04/04/2010 05:18 AM, Juan Antonio Gil Pascual wrote: > >> Hi Bernado >> >> I need to compare two fingerprint images and let me know if you can do >> with R. I have used the technique of minutiae but it seems to work >> better with the cross-correlation and wanted to know if you can do with R. >> >> Hi Juan, > If you're using minutiae, you will want something like character > recognition to identify the (admittedly arbitrary) elements of fingerprints > like loops and whorls and their relative extents and positions. I don't know > whether there is much character recognition stuff done in R, but it would > certainly be related. > > Jim > > > ______________________________________________ > R-help@r-project.org mailing list > https://stat.ethz.ch/mailman/listinfo/r-help > PLEASE do read the posting guide > http://www.R-project.org/posting-guide.html > and provide commented, minimal, self-contained, reproducible code. > [[alternative HTML version deleted]] ______________________________________________ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
