Hiding information is a latest requirement to secure our personal information even in personal gadgets and maintain our personal information in the devices. We here using advanced machine learning models for information hiding the information of a user or of an organization is being started a few years back as have some cryptographic techniques which are mentioning so many latest data hiding methodologies and in this article we proposed a domain of implementation of CNN and the other deep learning methodologies which are not mentioned in the deep learning approaches previously and the domain we are implementing the current architecture is in crime investigation which can have the hidden information of the identify of a person and we can get deviated by the wrong information we hide in the image and the information we need to gather will be retrieved by the authorized person and the information we share with the others may also have the chance of bleach by the other people in the way the data is being transmitted. In this article we tried to identify the secret information lied in the finger prints with machine learning and advanced concepts of neural networks like CNN, RNN etc. We achieved that RNN have the highest accuracy of the modelling the samples gathered and the inputs will be explained in an effective manner. Prediction modelling with the image classification is a quite complex task to accomplish and machine learning made it simple and easy to perform. The main task is to identify the origin of the information and the finger print we are carrying. This kind of implementation helped in identifying the crimes.
Volume 12 | 01-Special Issue
Pages: 601-608
DOI: 10.5373/JARDCS/V12SP1/20201109