A novel approach for automated skew correction of vehicle number plate using principal component analysis

Bodade, Rajesh M.; Pachori, Ram Bilas; Gupta, Aakash; Kanani, Pritesh; Yadav, Deepak

doi:10.1109/c2spca.2013.6749401

“…These methods are designed to detect the tilt which are less than 35 0 . These approaches are based on Principle Component Analysis [2], Fourier Transform [3], Hough Transform [4], Nearest neighbor connectors [5], Extreme points [6] and Moments [7,8]. But most approaches fail to detect the orientations of 90 0 , 180 0 and 270 0 .…”

Section: Literature Surveymentioning

confidence: 99%

Detection of Oriented Number Plate in Vehicle Using Autocorrection Feature From Gray Level Co-Occurence Matrix

M.N¹,

S.J²,

Vasudev³

2015

Computer Science &Amp; Information Technology ( CS &Amp; IT )

0

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The efficiency of an automatic number plate recognition system depends directly on the proper effective preprocessing of the number plate. The OCRs available for recognition are capable of reading the number plates which are in proper orientation of 00. In many situations the vehicle number plates captured may be in any different orientation like 900, 1800 and 2700. These orientations in number plates are due to declamping of number plate at one end or toppling of vehicle. Such differently oriented number plates cannot be subjected for reading by OCRs and such situations require the system to detect the direction of orientation and correct the same before subjecting the same for reading. This paper proposes a work to detect the orientation of segmented number plates from vehicle image using autocorrelation feature from gray level cooccurrence matrix. A good volume of training samples are generated synthetically to train the system and the system is tested using sufficient test samples. The results of system shows an overall efficiency of 65.61% and performs an essential preprocessing in an automatic number plate recognition system.

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“…These methods are designed to detect the tilt which are less than 35 0 . These approaches are based on Principle Component Analysis [10], Fourier Transform [11], Hough Transform [12], Nearest neighbor connectors [13], Extreme points [14] and Moments [15,16]. But most approaches fail to detect the orientations of 90 0 , 180 0 and 270 0 .…”

Section: Literature Surveymentioning

confidence: 99%

“…The segmented number plate image is subjected to estimate the angle of skew in number plate. The Radon transformation for a continuous function is given by equation (2) Rθሺ‫ݔ‬ ᇱ ሻ = ‫‬ ݂ሺ‫ݔ‬ ᇱ ‫ߠݏܿ‬ − ‫ݕ‬ ᇱ ‫,ߠ݊݅ݏ‬ ‫ݔ‬ ᇱ ‫ߠ݊݅ݏ‬ + ‫ݕ‬ ᇱ ‫′ݕ݀‪ߠሻ‬ݏܿ‬ ାஶ ିஶ…”

Section: Radon Transformmentioning

confidence: 99%

“…The skew causes major effect on character segmentation and recognition. Good number of methods have been proposed by many researchers for the detection of skew in vehicle number plate [1] in order to increase the performance of OCR system such as using principal component analysis [2], Fourier transform [3], Hough transform [4], nearest neighbour connectivity [5], method of extreme points [6] and moments [7,8].…”

Section: Introductionmentioning

confidence: 99%

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Detection of Oriented and Skewed Number Plate in Vehicle Using Hybrid Approach

M.N¹,

S.J²,

Vasudev³

2015

IJMA

0

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The efficiency of an automatic number plate recognition system depends directly on the proper effective preprocessing of the number plate. The OCRs available for recognition are capable of reading the number plates which are in proper orientation of 0 0. In many situations the vehicle number plates captured may be in any different orientation like 90 0 , 180 0 and 270 0. These orientations in number plates are due to declamping of number plate at one end or toppling of vehicle. Such differently oriented number plates cannot be subjected for reading by OCRs and such situations require the system to detect the direction of orientation and correct the same before subjecting the same for reading. The efficiency of an automatic vehicle number plate recognition is high if the necessary preprocessing methods give results effectively. Also an essential and important preprocessing in automatic number plate recognition system is correction of skewed number plates in vehicle images which is mainly due to position of camera while capturing the vehicle image. The skewed number plate affects badly on the accurate character segmentation and recognition. Once the number plate is segmented from the vehicle image, the plate has to be checked for skewness and the same has to be corrected for future processing. This paper proposes a work to detect the orientation and skewed of segmented number plates from vehicle image using hybrid approach combination of Autocorrelation and Radon transform. A good volume of training samples are generated synthetically to train the system and the system is tested using sufficient test samples. The results of system shows an overall efficiency 65.05% of oriented detection, efficiency of 85.71% skewed number plate and performs an essential preprocessing in an automatic number plate recognition system.

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Using skeleton and Hough transform variant to correct skew in historical documents

Boudraa

¹

,

Hidouci²,

Michelucci

³

2020

Mathematics and Computers in Simulation

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As a main part of several document analysis systems, Skew estimation represents one of the major research defies, particularly in case of historical documents exploration. In this paper, we propose an original skew angle detection and correction technique. Morphological Skeleton is introduced to considerably diminish the amount of data by eliminating the redundant pixels and preserving only the central curves of the image components. Next, the proposed method uses Progressive Probabilistic Hough Transform (PPHT) to find image lines. At the end, a specific procedure is applied in order to measure the global skew angle of the document image from these identified lines. Experimental results demonstrate the accuracy and the effectiveness of our approach on skew angle detection upon three popular datasets covering many types of documents of diverse linguistic writings (Chinese, Greek and English) and different styles (horizontal or vertical orientations, including figures and tables, multi-columns page layouts).

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A novel approach for automated skew correction of vehicle number plate using principal component analysis

Cited by 6 publications

References 14 publications

Detection of Oriented Number Plate in Vehicle Using Autocorrection Feature From Gray Level Co-Occurence Matrix

Detection of Oriented Number Plate in Vehicle Using Autocorrection Feature From Gray Level Co-Occurence Matrix

Detection of Oriented and Skewed Number Plate in Vehicle Using Hybrid Approach

Using skeleton and Hough transform variant to correct skew in historical documents

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