Fingerprint Pattern Classification Using Convolution Neural Network

Fingerprint Classification using Artificial Neural Network

This paper presents some intermediate results on fingerprint classification adopting a neural network as decision stage. The neural network is ready to perform matching process and is successfully developed to identify and classify the fingerprint using back propagation algorithm. The experimental results show the method proposed could improve fingerprint image quality classification accuracy m...

Neural Network based Fingerprint Classification

This paper introduces a new approach of fingerprint classification system based on ANN. Most automated fingerprint identification system uses prior classification of fingerprint using minutiae as feature. But in such methods the performance of minutiae extractions relies heavily on an enhancement algorithm and also it needs improvement as they are limited to the number of classable data. Thus m...

Fingerprint Classification Based on Novel Directional Features Using Neural Network

The retrieval effectiveness of Automatic Fingerprint Recognition Systems can be improved greatly by restricting the search of a fingerprint to a limited scope. Fingerprint classification refers to the process of assigning a fingerprint to a predefined class predominantly based on global features. In this paper, an efficient compact fixed size feature vector based on directional variance for rep...

Fingerprint Classification Based on Depth Neural Network

Fingerprint classification is an effective technique for reducing the candidate numbers of fingerprints in the stage of matching in automatic fingerprint identification system (AFIS). In recent years, deep learning is an emerging technology which has achieved great success in many fields, such as image processing, natural language processing and so on. In this paper, we only choose the orientat...

Biometric Fingerprint Indentification Using Artificial Neural Network