Author(s): Dena Nadir George, Ahmed Abd Ali Abdulkadhim, Salam Ayad Hussein
Identity represents the people’s assets and the identical verification (ID) is a process that is used to prove the matching between person’s identity and what’s already claimed. The ID process has many methods and the biometric method is the most important one, because it offers consistent result in the identity verification field. There are many techniques in the biometric verification such as; voice, iris, retina scanning and commonly used the fingerprints. Basically, the human hand contains information aiding the authentication of the of individual identity. The term Hands Geometry, refers to the hands geometric structure. This structure involves hand’s shape, fingers length and their width at various locations and palm’s width and thickness, etc. However, despite of all the anatomical features the hand has, they are still not enough to be depend on. Since those features are time sensitive, as the hands are always subjected to changes due to illness, aging and weight gain/loss. In fact, it depends on individuals with extremely different hands that will not drastically change with time. The purpose of this article is to survey several articles found in literature about Hand Geometry recognition System, and to compare among different methods used in these articles