Designing of Licensed Number Plate Recognition system using hybrid technique from neural network &amp; template matching

Kumar, Binay Binod; Bansal, Mohit; Verma, Puneet

doi:10.1109/cccs.2015.7374170

Cited by 6 publications

(2 citation statements)

References 17 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…We choose the word of the vocabulary that maximises this likelihood. • Hybrid approach : to improve recognition performances, the trend is to build hybrid systems [23] that use different types of features, and that combine several layered classifiers. This combination improves the quality of the classification in terms of accuracy.…”

Section: Automatic Extraction From Screenshotsmentioning

confidence: 99%

A Survey of Keylogger and Screenlogger Attacks in the Banking Sector and Countermeasures to Them

Sbai

Goldsmith

Meftali

et al. 2018

Cyberspace Safety and Security

View full text Add to dashboard Cite

Keyloggers and screenloggers are one of the active growing threats to user's confidentiality as they can run in user-space, easily be distributed and upload information to remote servers. They use a wide number of different techniques and may be implemented in many ways. Keyloggers and screenloggers are very largely diverted from their primary and legitimate function to be exploited for malicious purposes compromising the privacy of users, and bank customers notably. This paper presents a survey of keylogger and screenlogger attacks to increase the understanding and awareness of their threat by covering basic concepts related to bank information systems and explaining their functioning, as it presents and discusses an extensive set of plausible countermeasures.

show abstract

Section: Automatic Extraction From Screenshotsmentioning

confidence: 99%

A Survey of Keylogger and Screenlogger Attacks in the Banking Sector and Countermeasures to Them

Sbai

Goldsmith

Meftali

et al. 2018

Cyberspace Safety and Security

View full text Add to dashboard Cite

show abstract

“…Recognition accuracy resulted from this study reached 100%. The data were taken in normal light conditions [6].…”

Section: Introductionmentioning

confidence: 99%

Support Vector Machine Method to Reduce the Execution Time of Vehicle Plate Recognition System

Ismail

Indrabayu

Areni

2018

EPI-IJE

View full text Add to dashboard Cite

This research aims to create a vehicle plate detection and recognition system with Cascade Classifier, Support Vector Machine (SVM) and Optical Character Recognition (OCR). Cascade Classifier with Local Binary Patterns (LBP) descriptor is used to detect the car licence plate (Coarse Location). SVM is used to reduce plate candidate detection error and the execution time. Optical Character Recognition (OCR) is used to recognize the characters in plates. The system test is performed using 19 video data of moving vehicles at night and rain conditions. Each video has a duration of 30 seconds and contains 4-10 cars per video. The testing results show reduction of the execution time of vehicle plate recognition system which reached 60% with the average accuracy of plate recognition 61.94%.

show abstract

IoT Based Digital Toll Collection System: A Perspective

Mir

Kayesh

Khan

et al. 2021

2021 International Conference on Artificial Intelligence and Smart Systems (ICAIS)

View full text Add to dashboard Cite

Designing of Licensed Number Plate Recognition system using hybrid technique from neural network & template matching

Cited by 6 publications

References 17 publications

A Survey of Keylogger and Screenlogger Attacks in the Banking Sector and Countermeasures to Them

A Survey of Keylogger and Screenlogger Attacks in the Banking Sector and Countermeasures to Them

Support Vector Machine Method to Reduce the Execution Time of Vehicle Plate Recognition System

IoT Based Digital Toll Collection System: A Perspective

Contact Info

Product

Resources

About