FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W2550871391> ?p ?o ?g. }

• W2550871391 abstract "The tenacity of this paper is logical investigation of prevailing ANPR system research by cataloguing existing methods analyzing and equate old and new techniques. Automatic number plate recognition is a technique to read character from image and isolate number using various processes and practices. Automatic number plate credit is a image processing techniques. In this paper we used efficient approach for extract the countryside of number plate using haar wavelet and compare Haar wavelet with old technology .Haar wavelet reduce intensity and noise from signal and takes less time for training. Keyword: ANPR System, Haar Wavelet, Acquisition,Detection,Segmentation,Recognition. I.INTRODUCRION Image Processing:- It is the process of image convert original image into digital image using mathematical operation.Apply signal processing on image for extract information about original image. The cardinal image use innumerable algorithm for processing. It is related to computer graphic and computer vision.In image processing captured the image using high resolution camera and import using optical scanner, analyses and manipulate forfind out characteristics of image. In this processing used two types methods for processing one is analog that is used for analyses hard copy printout image and second is digital that is used for analyses on computer .Vehicle is increase day to day problem of crimes, stealing increase repeadily.Convicts uses vehicle in crimes, people not follow circulation rule,due to many inadvertent cases happens. To resolve such types of problem used various techniques to read number plate and identify vehicle number. Identify number plate of vehicle encompass in criminality can help to find out prisoners.Goal of ANPR systemis to identify vehicle number and reduce the intensity.There are prevailing some solution for number plate identification like template matching, innovative adapting, DWT, CWT and various wavelet transform but some problem in existing system.They are very raucous, so to resolve such types of problem use haar wavelet. Haar wavelet is the orthogonal wavelet that has symmetric examination and separation filters. It isalso known as haar transform for the mathematical operation. It has two version 1D and 2D. 1D haar wavelet is used for find average value of image pixel and detail of signal and 2D haar wavelet decompose image into orthogonal sub bands with LL, LH,HL,HH parallelsto approximation, horizontal, vertical, diagonal.It is used for detection and feature abstraction of numberplate characters. Itreduce the noise from signal so it is better technique as compare to template matching technique. It takes least time for character exposure, eccentric segmentation, feature extraction and for training.Abstract article from image using haar wavelet and diagnose image, after abstraction details of image detect the character of image, normalize the image after standardization screening the region using refining filter and detect value of edge component using sobeloperational. After detection segment the image , in segmented phase decompose the character exclusively and bounded by box. After dissection appreciation the image and identify gratitude rate and training time of various image using database." @default.
• W2550871391 created "2016-11-30" @default.
• W2550871391 creator A5067726939 @default.
• W2550871391 date "2015-01-01" @default.
• W2550871391 modified "2023-09-23" @default.
• W2550871391 title "Automatic Number Plate Recognition Using" @default.
• W2550871391 cites W1907612142 @default.
• W2550871391 cites W1964741520 @default.
• W2550871391 cites W1974947176 @default.
• W2550871391 cites W2096465927 @default.
• W2550871391 cites W2111962371 @default.
• W2550871391 cites W2113010051 @default.
• W2550871391 cites W2114067622 @default.
• W2550871391 cites W2118376687 @default.
• W2550871391 cites W2135311557 @default.
• W2550871391 cites W2148030585 @default.
• W2550871391 cites W2466185853 @default.
• W2550871391 hasPublicationYear "2015" @default.
• W2550871391 type Work @default.
• W2550871391 sameAs 2550871391 @default.
• W2550871391 citedByCount "0" @default.
• W2550871391 crossrefType "journal-article" @default.
• W2550871391 hasAuthorship W2550871391A5067726939 @default.
• W2550871391 hasConcept C104317675 @default.
• W2550871391 hasConcept C115961682 @default.
• W2550871391 hasConcept C154945302 @default.
• W2550871391 hasConcept C196216189 @default.
• W2550871391 hasConcept C2780423554 @default.
• W2550871391 hasConcept C31972630 @default.
• W2550871391 hasConcept C41008148 @default.
• W2550871391 hasConcept C46286280 @default.
• W2550871391 hasConcept C47432892 @default.
• W2550871391 hasConcept C9417928 @default.
• W2550871391 hasConceptScore W2550871391C104317675 @default.
• W2550871391 hasConceptScore W2550871391C115961682 @default.
• W2550871391 hasConceptScore W2550871391C154945302 @default.
• W2550871391 hasConceptScore W2550871391C196216189 @default.
• W2550871391 hasConceptScore W2550871391C2780423554 @default.
• W2550871391 hasConceptScore W2550871391C31972630 @default.
• W2550871391 hasConceptScore W2550871391C41008148 @default.
• W2550871391 hasConceptScore W2550871391C46286280 @default.
• W2550871391 hasConceptScore W2550871391C47432892 @default.
• W2550871391 hasConceptScore W2550871391C9417928 @default.
• W2550871391 hasLocation W25508713911 @default.
• W2550871391 hasOpenAccess W2550871391 @default.
• W2550871391 hasPrimaryLocation W25508713911 @default.
• W2550871391 hasRelatedWork W1417355991 @default.
• W2550871391 hasRelatedWork W1549870393 @default.
• W2550871391 hasRelatedWork W2043365477 @default.
• W2550871391 hasRelatedWork W2046054505 @default.
• W2550871391 hasRelatedWork W2082953727 @default.
• W2550871391 hasRelatedWork W2122834273 @default.
• W2550871391 hasRelatedWork W2138928596 @default.
• W2550871391 hasRelatedWork W2154616428 @default.
• W2550871391 hasRelatedWork W2384909839 @default.
• W2550871391 hasRelatedWork W2387617049 @default.
• W2550871391 hasRelatedWork W2544777501 @default.
• W2550871391 hasRelatedWork W2562025694 @default.
• W2550871391 hasRelatedWork W2895740613 @default.
• W2550871391 hasRelatedWork W2917214571 @default.
• W2550871391 hasRelatedWork W2918228505 @default.
• W2550871391 hasRelatedWork W2921037734 @default.
• W2550871391 hasRelatedWork W2966735750 @default.
• W2550871391 hasRelatedWork W3001138673 @default.
• W2550871391 hasRelatedWork W2881888979 @default.
• W2550871391 hasRelatedWork W3177619199 @default.
• W2550871391 isParatext "false" @default.
• W2550871391 isRetracted "false" @default.
• W2550871391 magId "2550871391" @default.
• W2550871391 workType "article" @default.