Abstract: “Fingerprint is used as an Identity Authentication Parameter. RNA-FINNT is a Fingerprint Hash Algorithm which is used to extract the hash code value of fingerprint when it is used for identity authentication. This algorithm is already validated on two parameters: reduction in number of angles and removal of dependency on global features. But this paper elucidates the third parameter which is error percentage that how RNA-FINNT has resulted in reduction in error percentage. Detailed analysis of existing algorithms (Grid Hash, Angle Hash and Minimum Distance Hash) is done on the basis of number of minutiae points extracted and on the behalf of which corresponding error percentage is calculated. Proof is generated through mathematical calculation that increase in the number of minutiae points in RNA-FINNT would result in decrease of error percentage. Validation is done that execution of RNA-FINNT results in reduction of error percentage.”

Keywords: Network Security, Reduction in Error Percentage, Minutiae Points, Algorithm, Fingerprint Hash, Error Percentage