• Corpus ID: 53387215

Vehicle Number Plate Recognition System for Theft Detection

@inproceedings{Lomte2017VehicleNP,
  title={Vehicle Number Plate Recognition System for Theft Detection},
  author={Madhukar Lomte and Hajiali Galib Ali Sayyed},
  year={2017}
}
Large number of vehicles creates various problems and disturbances in day to day life. Vehicles generate problems of heavy traffic on road and stealing of vehicles at the parking areas. Management of vehicles and transportation are tedious and time consuming task. If it is completely operated by manually that reflects huge errors and difficulties. Therefore, it is necessary to develop automatic recognition and detection of the number plate of vehicles by recognition system. This paper shades… 
ijsr.net

Figures from this paper

References

SHOWING 1-10 OF 14 REFERENCES
The Recognition and Detection System for Theft Vehicle by Number Plates
TLDR
It will be beneficial to reduce the problem such as recognize automatic high speed on highway, traffic violation cases, to collect toll automatically on toll plazas and to make security in parking areas.
A real time vehicle's license plate recognition system
TLDR
A smart and simple algorithm based on pattern matching can be applied for real time detection of license plates for collecting data for surveying or for some application specific purposes.
Incorporate the Syntactic Knowledge in Opinion Mining in User-generated Content
TLDR
Opinion mining, a recent data mining technique at the crossroad of information retrieval and computational linguistics, is pretty suitable for this kind of information processing and the main two subtasks of opinion mining: topic extraction and sentiment classification are proposed.
Hidden sentiment association in chinese web opinion mining
TLDR
A novel mutual reinforcement approach to deal with the feature-level opinion mining problem, which can largely predict opinions relating to different product features, even for the case without the explicit appearance of product feature words in reviews.
Sentiment analysis of Chinese documents: From sentence to document level
TLDR
A rule-based approach including two phases: determining each sentence's sentiment based on word dependency, and aggregating sentences to predict the document sentiment is proposed to address the unique challenges posed by Chinese sentiment analysis.
Sentic Activation: A Two-Level Affective Common Sense Reasoning Framework
TLDR
This work proposes a two-level affective reasoning framework that concurrently employs multi-dimensionality reduction and graph mining techniques to mimic the integration of conscious and unconscious reasoning, and exploit it for sentiment analysis.
A Sentimental Education: Sentiment Analysis Using Subjectivity Summarization Based on Minimum Cuts
TLDR
A novel machine-learning method is proposed that applies text-categorization techniques to just the subjective portions of the document, which greatly facilitates incorporation of cross-sentence contextual constraints.
Structured Models for Fine-to-Coarse Sentiment Analysis
TLDR
Experiments show that this structured model for jointly classifying the sentiment of text at varying levels of granularity can significantly reduce classification error relative to models trained in isolation.
Ahmad Radmanesh A Real Time Vehicle.s License Plate Recognition System
    Banshidhar MajhiHeuristics for license plate localization and hardware implementation of Automatic License Plate Recognition (ALPR) systemDepartment
      ...
      ...