Lakhasly

based techniques find the minutiae points first and then.To solve this problem, plug extraction from fingerprint images and its application in fingerprint matching is examined [5, 9].retina, Hand veins, ear canal, facial thermogram, DNA, odor and scent and palm prints are also being considered.Correlation based techniques require the precise location of a registration point and are affected by image translation and rotation [5, 6, 7, 8].Artificial systems can also be designed which will update the stored metric as the proposed feature may vary for a particular person after certain time period.Furthermore, some new laptops have been used this method as a reliable and rapid method.In addition, high reliability and real- time processing are important factors in automatic fingerprint identification.Other biometric strategies such as those based on gait (way of walking).In the near future, these biometric techniques could be the solution for the increasing threats in world of information security.Fingerprint identification is one of the most common methods of identification.For example, most of the organizations maintain the staff attendance systems using this method.Due to the elasticity of the skin, there may be distortions in the shape and location of the fingerprint.at ports and high security areas.On the other hand, there are some practical problems in fingerprint identification systems.map their relation placement on the finger.However, the success of these approaches depends on their performance in real life situations.

based techniques find the minutiae points first and then. map their relation placement on the finger. Correlation based techniques require the precise location of a registration point and are affected by image translation and rotation [5, 6, 7, 8].

at ports and high security areas. Other biometric strategies such as those based on gait (way of walking). retina, Hand veins, ear canal, facial thermogram, DNA, odor and scent and palm prints are also being considered. In the near future, these biometric techniques could be the solution for the increasing threats in world of information security. However, the success of these approaches depends on their performance in real life situations. Artificial systems can also be designed which will update the stored metric as the proposed feature may vary for a particular person after certain time period.

Fingerprint identification is one of the most common methods of identification. For example, most of the organizations maintain the staff attendance systems using this method. Furthermore, some new laptops have been used this method as a reliable and rapid method. On the other hand, there are some practical problems in fingerprint identification systems. Due to the elasticity of the skin, there may be distortions in the shape and location of the fingerprint. In addition, high reliability and real- time processing are important factors in automatic fingerprint identification. To solve this problem, plug extraction from fingerprint images and its application in fingerprint matching is examined [5, 9].