%0 Journal Article %1 bintualias2013novel %A Bintu Alias, Ginto Johnson %A Thomas, Anoop %D 2013 %E Das, Dr. Vinu V %J ACEEE International Journal of Signal and Image Processing %K BEAGLE_board OPENCV POINCARE_INDEX Singular_Point %N 2 %P 4 %T A Novel Approach for Detection of Fingerprint by Constructing Relational Graph using Singular Points %U http://searchdl.org/public/journals/2013/IJSIP/4/2/1244.pdf %V 4 %X Fingerprint is the dominant trait between different biometrics like iris, retina, and face. A fingerprint is the pattern of ridges and valleys on the surface on a fingertip. Now days itself this method is very powerful because of their immutability and uniqueness of patterns .immutability means the patterns by ridges and valleys are permanent and unchanged. Many techniques have been proposed for pattern recognition in fingerprint, most of them being based on minutiae and singular point. In the singular points method we are extracting the core, delta, arch and whorl points. In human fingerprint, it may contain more than one core point or delta point by . By using these points we can construct a graphical shape that is used for fingerprint identification. So the whole image storing in database is replaced by some shape or values. According to the position of each point the graphical shape for each person is different from others, so comparing with this shape can identify each person.

@article{bintualias2013novel, abstract = {Fingerprint is the dominant trait between different biometrics like iris, retina, and face. A fingerprint is the pattern of ridges and valleys on the surface on a fingertip. Now days itself this method is very powerful because of their immutability and uniqueness of patterns .immutability means the patterns by ridges and valleys are permanent and unchanged. Many techniques have been proposed for pattern recognition in fingerprint, most of them being based on minutiae and singular point. In the singular points method we are extracting the core, delta, arch and whorl points. In human fingerprint, it may contain more than one core point or delta point by . By using these points we can construct a graphical shape that is used for fingerprint identification. So the whole image storing in database is replaced by some shape or values. According to the position of each point the graphical shape for each person is different from others, so comparing with this shape can identify each person.}, added-at = {2014-01-17T06:20:42.000+0100}, author = {Bintu Alias, Ginto Johnson and Thomas, Anoop}, biburl = {https://www.bibsonomy.org/bibtex/28e8c2c35a160cb2ded37ca6b92144c19/ideseditor}, editor = {Das, Dr. Vinu V}, interhash = {9877120d699152f10059e81e3f46ff0a}, intrahash = {8e8c2c35a160cb2ded37ca6b92144c19}, journal = {ACEEE International Journal of Signal and Image Processing}, keywords = {BEAGLE_board OPENCV POINCARE_INDEX Singular_Point}, month = may, number = 2, pages = 4, timestamp = {2014-01-17T06:20:42.000+0100}, title = {A Novel Approach for Detection of Fingerprint by Constructing Relational Graph using Singular Points}, url = {http://searchdl.org/public/journals/2013/IJSIP/4/2/1244.pdf}, volume = 4, year = 2013 }