Towards Accurate Estimation of Fingerprint Ridge Orientation Using BPNN and Ternarization
Journal Title: IOSR Journals (IOSR Journal of Computer Engineering) - Year 2013, Vol 13, Issue 1
Abstract
Accurate estimation of ridge orientation is a crucial step in fingerprint image enhancement because the performance of a minutiae extraction algorithm and matching heavily relies on the quality of the input fingerprint images, which in turn relies on proper estimation of ridge orientation. When ridge structure is not clear in a noisy fingerprint image, ridge orientation estimation becomes tough and it is considered as one of the most challenging tasks in fingerprint image enhancement process.
Authors and Affiliations
Prasad Reddy P. V. G. D
Keywords
Related Articles
- EP ID EP135939
- DOI -
- Views 112
- Downloads 0
Realization of web hotspot rescue in a distributed system
Web hotspot is considered as a serious problem in case of distributed systems. When the load in a website is suddenly increases, the situation is termed as web hotspot. This kind of situation can seriously degrad...
Analysis of Alzheimer Symptoms and Stages Using Canny Edge Detector in Image Segmentation
Abstract: Alzheimer’s disease is the most common form of dementia.It is a neurological brain disorders. The hippocampus is known to shrink in time due to cell death,and it is linked with increased memory loss,whic...
A Cost-Effective Delay Model for Leased Data Centers to Establish Private Cloud Computing Services
Abstract: Nowadays, using of cloud computing services and developing movement towards on-demand and inexpensive communication and storage infrastructures, and also specialized software is one of the main topics for discu...
Exploration of the Advanced Metering Infrastructure and its Application in Smart Grids
In this exploration emphasis is on the Smart Grid (SG), the role of the Advanced Metering Infrastructure (AMI) in SG and security concerns in the AMI. This work is primarily on AMI, which is responsible for gathering all...
Comparison of Neural Network Training Functions for Hematoma Classification in Brain CT Images
Classification is one of the most important task in application areas of artificial neural networks (ANN).Training neural networks is a complex task in the supervised learning field of research. The main diffi...