Latent Fingerprint And Vein Matching Using Ridge Feature Identification

1511 words - 6 pages

Now a days, Biometrics maps to a new civilian applications of commercial use. Automatic Fingerprint Identification System(AFIS) appeared as an essential tool for all the biometrics and the law enforcement agencies[1].The demand of the secured biometric system, now lead to the growth in the features and individualities for the responsibility of quite complicated fingerprint and finger-vein present in the fingertips of the fingerprint. This important technology is widely used in area-access control, Pc login, and e-commerce. These all biometrics are attracted towards this technology, because of password theft, loss and release of user’s memory[10].
In biometrics system, the security and convenience of the system are important[10].The system requires high response times and fast accuracy. The biometrics includes the patterns based on fingerprint,fingervein,facial features,the iris, and the voice,hand grometry.However,some of the features are susceptible to forgery,so if it may used in conmbination the system will be efficient.The fingerprint and fingervein produces high confidentiality over other measures.
In general,not even a twin sisters or twin brothers may not have the same fingerprint.They may be varying with respect to their genetic arrangements of cells and tissues. Fingerprint may consists of friction ridges and it is a combination of ridges(black line) and valleys(space between the two ridges).In fingerprint,level-2 fingerprint features has been executed with high performance and individuality in the fingerprints and it may produces the misperfections randomly in the case of friction ridges and they are known as the minutiae. These type of fingerprint acquisition typically utilizes the fingerprint resolution must higher than 410dpi.Although,[]level-1 features may be utilized by Automated Fingerprint resolution,and this may produces the pattern type and ridge flow features present in our fingers and it may be get from a low-resoluation images,and this features are used only for fingerprint classification.
Fingerprint[] images are of three types. (i)rolled, (ii)plain and (iii)latent.Although rolled and plain fingerprint images are used for forensic applications,whereas rolled print may be used for government applications and commercial one.This may have the friction ridge impressions of full nail(end-to-end) for the purpose of registry.
But in plain fingerprint,once the finger is pressed in a flat surface and not be rolled,both this plain and rolled prints are taken by the live scan machine or inked impressions on paper.Latent fingerprint is defined as the partial print or injured print.It defines that the impressions we get it in a damaged conditions or a partial prints.But half of the fingerprint is there to identify a system.
In identification system,the enrolled fingerprint are stored at an initial stage and the verifying fingerprint is the print for the authentication...

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