Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: A common approach in fingerprint matching algorithms consists of minimizing a similarity measure beten feature vectors of both images, over a set of linear transformations of one image to the other. In this work  propose the thin-plate spline as a more accurate model for the geometric transformations that arise in fingerprint images. In addition  show how such a model can be integrated into a matching algorithm by means of a two-step iterative minimization with auxiliary variables. Such a method allows to correct many of the false pairings of minutiae commonly found by matching algorithms based on linear transforms.
['Andrés Almansa', 'Laurent D. Cohen']
I am writing a research paper on a idea Fingerprint image matching by minimization of a thin-plate energy using a two-step algorithm with auxiliary variables
[{"from": "human", "value": "I am writing a research paper on a idea Fingerprint image matching by minimization of a thin-plate energy using a two-step algorithm with auxiliary variables"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: A common approach in fingerprint matching algorithms consists of minimizing a similarity measure beten feature vectors of both images, over a set of linear transformations of one image to the other. In this work  propose the thin-plate spline as a more accurate model for the geometric transformations that arise in fingerprint images. In addition  show how such a model can be integrated into a matching algorithm by means of a two-step iterative minimization with auxiliary variables. Such a method allows to correct many of the false pairings of minutiae commonly found by matching algorithms based on linear transforms."}]