This paper presents detailed audit in the field of Optical Character Recognition. Different systems are confirmed that have been proposed to understand the focal point of character acknowledgment in an optical character acknowledgment framework. Despite the fact that, adequate studies and papers are depicts the systems for changing over printed content from a paper record into machine decipherable structure. Optical character acknowledgment is a procedure where the PC gets it naturally the picture of written by hand script and move into characterize character. This material use as an aide and upgrade for peruses working in the Character Recognition zone. Determination of an important component extraction technique is likely the single most imperative component in accomplishing high character acknowledgment with vastly improved precision in character acknowledgment frameworks with no variety.
Kayhan Bora, work on “Car Plate Recognition”, A Master’s Thesis in Computer Engineering, 2009.
Tran DucDuan et al., “Building an Automatic Vehicle License-Plate Recognition System”, presented at International Conference in Computer Science, RIVF’05 on February 21-24, 2005, Can Tho, Vietnam.
David J. Roberts and Meghann Casanova, “Automated License Plate Recognition Systems: Policy and Operational Guidance for Law Enforcement”, a research report submitted to the US Department of Justice, in September 2012.
Ch. Jaya Lakshmi, A. Jhansi Rani, K. Sri Ramakrishna, and M. KatiKiran, “A Novel Approach for Indian License Plate Recognition System”, VI International Journal of Advanced Engineering Sciences and Technologies, 10-14, 2011.
LihongZheng, Xiangjian He; Qiang Wu, WenjingJia; Samali, B., Palaniswami, M., “A Hierarchically Combined Classifier for License Plate Recognition”, Computer and Information Technology, 2008. CIT 2008, 8th IEEE International Conference on 8-11 July 2008 Page(s):372-377 Digital Object Identifier 10.1109/CIT.2008.4594704.
SaeedRastegar, Reza Ghaderi, GholamrezaArdeshipr&NimaAsadi, “An intelligent control system using an efficient License Plate Location and Recognition Approach”, International Journal of Image Processing (IJIP) Volume(3), Issue(5) 252, 2009.
H.; Gecim, H. S., Alkar, A. Z., “Efficient Embedded Neural-Network-Based License Plate Recognition System Caner”, Vehicular Technology, IEEE Transactions on Volume 57, Issue 5, Sept. 2008, Page(s): 2675–2683 Digital Object Identifier 10.1109/TVT.2008. 915524.
SaeedRastegar, Reza Ghaderi, GholamrezaArdeshipr&NimaAsadi, “An intelligent control system using an efficient License Plate Location and Recognition Approach”, International Journal of Image Processing (IJIP) Volume(3), Issue(5) 252, 2009.
Dai Yan; Ma Hongqing, Liu Jilin, Li Langang, “A high performance license plate recognition system based on the web technique” Intelligent Transportation Systems, 2001. Proceedings 2001 IEEE 25-29 Aug’2001, Page(s):325-329, Digital Object Identifier 10.1109/ITSC.2001.948677.
A. S. HadiSharifiKolour, “An evaluation of license plate recognition algorithms”, International Journal of Digital Information and Wireless Communications (IJDIWC), pages 281–287, 2011.
Tran DucDuan, Tran Le Hong Du, Tran VinhPhuoc, Nguyen Viet Hoang “Building an Automatic Vehicle License-Plate Recognition System”, February 2005
Fukunaga K., “Introduction to Statistical Pattern Recognition”, Academic Press, San Diego, USA, 1990.
Plate Geometry and Basic Syntax (http://www.platerecognition.info/1102.htm).
Applications of AVLPR System, (http://www.anpr.net/anpr_09/anpr_applicationareas.html)
SatadalSaha, SubhadipBasu, MitaNasipuri, and Dipak Kumar Basu “An Offline Technique for Localization of License Plates for Indian Commercial Vehicles”.
CristianMolder, powerpoint presentation on the topic, “An Automatic License Plate Recognition Plate Recognition (ALPR) System”.
Drawbacks faced in License Plate Recognition (https://en.wikipedia.org/wiki/Automatic_number_plate_ recognition).
Salah Al-Shami, Ali El-Zaart, RachedZantout, Ahmed Zekri and KhaledAlmustafa, “A New Feature Extraction Method for License Plate Recognition”, IEEE, 2015.
S.Kranthi, K.Pranathi, A.Srisaila, “Automatic Number Plate Recognition”, International Journal of Advancements in Technology, ISSN 0976-4860.
BolotovaYu.A., Druki A.A. and Spitsyn V.G., “License Plate Recognition with Hierarchical Temporal Memory Model”, The 9th International Forum on Strategic Technology (IFOST), October 21-23, 2014, Cox’s Bazar, Bangladesh.
Shih-Jui Yang, Chian C. Ho, Jian-Yuan Chen and Chuan-Yu Chang, “Practical Homography-Based Perspective Correction Method for License plate Recognition”, IEEE, 2012.
AmrBadr, Mohamed M. Abdelwahab, Ahmed M. Thabet, and Ahmed M. Abdelsadek, “Automatic Number Plate Recognition System”, Annals of the University of Craiova, Mathematics and Computer Science Series Volume 38(1), 2011, Pages 62–71, ISSN: 1223-6934.
NimaAsadi, student of Intelligent Embedded Systems, Mälardalen University Västerås, Sweden “A Study of Automatic License Plate Recognition Algorithms and Techniques”, 2011.
ThanongsakSirithinaphong and KosinChamnongthai, “The Recognition of Car License Plate for Automatic Parking System”, Fifth International Symposium on Signal Processing and its Applications, ISSPA \"99, Brisbane, Australia, 22-25 August, 1999.
Lisheng Jin, Huacai Xian, Jing Bie, Yuqin Sun, HaijingHou and QingningNiu, “License Plate Recognition Algorithm for Passenger Cars in Chinese Residential Areas”, Published 15, June’2012, Sensors 2012, 12, 8355-8370; doi:10.3390/s120608355.
Tran DucDuan, Tran Le Hong Du, Tran VinhPhuoc and Nguyen Viet Hoang, “Building an Automatic Vehicle License-Plate Recognition System”, presented at International Conference in Computer Science, RIVF’05 on February 21-24, 2005, Can Tho, Vietnam.
Fredrik Trobro, thesis report on “Real Time Automatic License Plate Recognition in Video Streams”, published on September 23, 2007.
Harvey A. Cohen, “One-pass Gray-Scale Image Segmentation”, In Proc DICTA-93, Pages 572-578, Sydney, Dec’1993.