The main objective is to develop technology that include android application and web application to provide digitalization to both, an individual and RTO system, by reducing the documentation part. Fingerprints are rich in details which are in the form of discontinuities in ridges known as minutiae and are unique for each person. One of the most important tasks considering an automatic fingerprint recognition system is the minutiae bio-metric pattern extraction from the captured image of the fingerprint. The fingerprint matcher compares features by using Digital Image processing from input search point against all appropriate driving licenses in the database to determine if a probable match exists. With this implementation, there’ll be no need to carry documents along. A single fingerprint and an image will be enough to recognize and verify the individual and the vehicle. Mobile platforms such as smart-phones and tablet computers have attained the technological capacity to perform tasks beyond their intended purposes. The steady increase of processing power has enticed researches to attempt increasingly challenging tasks on mobile devices with appropriate modifications over their stationary counterparts. In this work we describe main features of software modules developed for Android smart phones that are used by RTO officers for licensee and vehicle documents verification. In this project we use bio-metric approach like fingerprints and vehicle number plates for verification.
Fingerprint classification and matching are key parts in an automated fingerprint recognition system. The fingerprint matcher compares features from the input search point against all appropriate records in the database to determine if a probable match exists. There are various approaches of automatic fingerprint matching that have been proposed which include minutiae based approaches, and image based approaches. Minutia based approaches are the most popular ones being included in almost all contemporary fingerprint identification and verification system.
Fingerprint verification problem is divided into two main tasks:
1. Minutiae extraction.
2. Minutiae matching.
The first stage consists of fingerprint sensing which has been historically carried out by spreading the finger with ink and pressing it against a paper card and then scanned, resulting in a digital representation. This process is known as off-line acquisition and is still used in law enforcement applications. Currently, it is possible to acquire fingerprint images byn pressing the finger against the flat surface of an electronic fingerprint sensor. This process is known as online acquisition. Acquired image may contain noise that is removed in pre-processing stage and minutiae are extracted from pre-processed image. Final stage for fingerprint matching is performed by passing minutiae patterns of the fingerprint to matcher. This matcher will produce a match score based on fingerprint matching.
An individual has to carry licence and vehicle documents, if he fails to present those at the time of certain on road investigation by Government authority, He has to pay the fine, here carrying documents is a mandatory part. This tedious and hectic procedure inspired us to think about the present RTO system and also motivated us to implement this system which increases the robustness and efficiency of RTO system and traffic issues. We would implement this system on android to give portability to system.
The application helps the RTO officials by reducing workload, documentation and a manual effort required to verify documents and also helps the individual to reduce their documentation part.
Objective of Project
The main objective is to develop a technology that includes android application and web application to provide digitalization to both individual and RTO system, by reducing the documentation part.