RDMMLND: A New Robust Deep Model for Multiple License Plate Number Detection in Video
Accurate multiple license plate detection without affecting speed, occlusion, low contrast and resolution, uneven illumination effect and poor quality is an open challenge. This study presents a new Robust Deep Model for Multiple License Plate Number Detection (RDMMLND). To cope with the above-menti...
Saved in:
Main Authors: | Kumar, Amish, Shivakumara, Palaiahnakote, Pal, Umapada |
---|---|
Format: | Article |
Published: |
Springer Science and Business Media Deutschland GmbH
2022
|
Subjects: | |
Online Access: | http://eprints.um.edu.my/43508/ |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
A new DCT-PCM method for license plate number detection in drone images
by: Mokayed, Hamam, et al.
Published: (2021) -
A new augmentation-based method for text detection in night and day license plate images
by: Chowdhury, Pinaki Nath, et al.
Published: (2020) -
A new Fractal Series Expansion based enhancement model for license plate recognition
by: Chowdhury, Pinaki Nath, et al.
Published: (2020) -
Riesz Fractional Based Model for Enhancing License Plate Detection and Recognition
by: Raghunandan, K.S., et al.
Published: (2018) -
Fractional means based method for multi-oriented keyword spotting in video/scene/license plate images
by: Shivakumara, Palaiahnakote, et al.
Published: (2019)