Reconstructing the Path of the Object based on Time and Date OCR in Surveillance System

Mie Mie Tin; Ei Phyu Win | Cho Thet Mon; Pyae Phyo Thu

Title:
Reconstructing the Path of the Object based on Time and Date OCR in Surveillance System

Authors:
Pyae Phyo Thu | Mie Mie Tin | Ei Phyu Win | Cho Thet Mon

Cite This Article :

Pyae Phyo Thu | Mie Mie Tin | Ei Phyu Win | Cho Thet Mon "Reconstructing the Path of the Object based on Time and Date OCR in Surveillance System" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-3 | Issue-5, August 2019, pp.2610-2612, URL: https://www.ijtsrd.com/papers/ijtsrd27981.pdf

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Abstract :
The inclusion of time-based queries in video indexing application is enables by the recognition of time and date stamps in CCTV video. In this paper, we propose the system for reconstructing the path of the object in surveillance cameras based on time and date optical character recognition system. Since there is no boundary in region for time and date, Discrete Cosine Transform (DCT) method is applied in order to locate the region area. After the region for time and date is located, it is segmented and then features for the symbols of the time and date are extracted. Back propagation neural network is used for recognition of the features and then stores the result in the database. By using the resulted database, the system reconstructs the path for the object based on time. The proposed system will be implemented in MATLAB.

Keywords :
Localization, Character Segmentation, Character Recognition, Back Propagation Neural Network

Publication Details:

Unique Identification Number : IJTSRD27981

Published In : Volume-3 | Issue-5, August 2019

Page Number(s) : 2610-2612

Publisher Name : IJTSRD | www.ijtsrd.com | E-ISSN 2456-6470

Copyright © 2019 by author(s) and International Journal of Trend in Scientific Research and Development Journal. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (CC BY 4.0) (http://creativecommons.org/licenses/by/4.0)

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