Thesis (M.S.) -- Central Connecticut State University, 2008. / Title from electronic title page of document. Special project advisor: Farid Farahmand. "A special project submitted in partial fulfillment of the requirements for the degree of Master of Science in Computer Information Technology, Department of Computer Science, Management Information Systems, and Industrial Technology." Includes bibliographical references.

Thesis (doctoral)--Universität Erlangen, 1929. / Includes bibliographical references (p. v-vi).

This study investigated character color changes on the current Oregon license plate in an attempt to rectify character recognition problems currently experienced with personalized license plates. Red-violet, brown, and purple were tested against the blue color currently used on the Oregon license plate's characters. Aesthetic-preference analyses were conducted to ensure that the potential character color changes maintained the appeal of the current plate. A standard recognition paradigm was used to test errors in letter recognition for the 4 colors. Fifty-four subjects with normal or corrected normal visual acuity and normal color vision were solicited from undergraduate psychology courses. All 54 volunteers participated in the first experiment which scaled preferences of the four character color alternatives using Thurstonian scaling. Fifty subjects were used in the second experiment which examined character recognition differences. The analyses focused on the center character of a 3- character string positioned with the central character on the green tree. Thurstonian scaling results indicated that the current blue character color was most preferred and brown was least preferred. ANOVA results found significant differences in character recognition between the four colors. The current blue color yielded the best character recognition, followed by red violet, purple and then brown. The findings were not congruent with Indow's (1988) study suggesting colors further removed from green on the color cognitive map should produce superior character recognition. A theoretical explanation of the results indicating that brightness differences, not hue, may have led to blue's superior performance is discussed.

University of Macau / Faculty of Science and Technology / Department of Computer and Information Science

Thesis (M.S.)--University of Nevada, Reno, 2006. / "May, 2006." Includes bibliographical references (leaves 94-99). Online version available on the World Wide Web.

Thesis (M.S.)--Ohio University, June, 1992. / Title from PDF t.p.

This thesis evaluates the performance of a vehicle detection technology, Automated License Plate Recognition (ALPR) camera systems, with regards to its ability to produce real-time travel time information in active work zones. A literature review was conducted to investigate the ALPR technology as well as to identify other research that has been conducted using ALPR systems to collect travel time information. Next, the ALPR technology was tested in a series of field deployments in both an arterial and a freeway environment. The goal of the arterial field deployment was to evaluate the optimal ALPR camera angles that produce the highest license plate detection rates and accuracy percentages. Next, a series of freeway deployments were conducted on corridors of I-285 in Atlanta, Georgia in order to evaluate the ALPR system in active work zone environments. During the series of I-285 freeway deployments, ALPR data was collected in conjunction with data from Bluetooth and radar technologies, as well as from high definition video cameras. The data collected during the I-285 deployments was analyzed to determine the ALPR vehicle detection rates. Additionally, a script was written to match the ALPR reads across two data collection stations to determine the ALPR travel times through the corridors. The ALPR travel time data was compared with the travel time data produced by the Bluetooth and video cameras with a particular focus on identifying travel time biases associated with each given technology. Finally, based on the knowledge gained, recommendations for larger-scale ALPR work zone deployments as well as suggestions for future research are provided.

Tez (Yüksek Lisans) - Süleyman Demirel Üniversitesi, Fen Bilimleri Enstitüsü, Elektronik ve Haberleşme Mühendisliği Anabilim Dalı, 2007. / Kaynakça var.