<--- Back to Details
First PageDocument Content
Law enforcement / Traffic law / Automatic number plate recognition / Optical character recognition / Surveillance / Vehicle registration plate / Traffic enforcement camera / Speed limit enforcement / Sheriffs in the United States / Transport / Road transport / Land transport
Date: 2014-04-18 15:31:28
Law enforcement
Traffic law
Automatic number plate recognition
Optical character recognition
Surveillance
Vehicle registration plate
Traffic enforcement camera
Speed limit enforcement
Sheriffs in the United States
Transport
Road transport
Land transport

2014 Regular Session - Senate Bill 699 Chapter

Add to Reading List

Source URL: mgaleg.maryland.gov

Download Document from Source Website

File Size: 217,38 KB

Share Document on Facebook

Similar Documents

Optical Character Recognition - IMPACT Briefing Paper

DocID: 1v2lJ - View Document

1929 Duncan Moss 2nd ed. The PDF of this publication has been subjected to Optical Character Recognition (OCR) to enable searching. Because of this processing, old and unusual fonts and characters can very occasionally g

DocID: 1uihr - View Document

Journal of Machine Learning Research387 Submitted 5/10; Revised 8/11; Published 2/12 Bounding the Probability of Error for High Precision Optical Character Recognition

DocID: 1tFuW - View Document

Security / Artificial intelligence / Electronic toll collection / Automatic number plate recognition / Optical character recognition / Road traffic management / Surveillance / Audit / Telecommunications data retention / Computer security

Automated License Plate Reader Audit Review Background Legislation related to law enforcement’s use of automated license plate reader (ALPR) data went into effect inAgencies using ALPRs when the new requirements

DocID: 1rdLT - View Document

Artificial intelligence / Computer vision / Feature detection / Image processing / Vision / Artificial intelligence applications / Image segmentation / Market segmentation / Hough transform / Optical character recognition / Feature extraction / Binary image

CHARACTER SEGMENTATION FOR HANDWRITTEN BANGLA WORDS USING ARTIFICIAL NEURAL NETWORK T. K. Bhowmik # , A. Roy * and U. Roy * # IBM Global Services Pvt Ltd, Embassy Golf Link, Bangalore, INDIA.

DocID: 1r8TE - View Document