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In this paper, we propose connected component analysis based algorithm to automatically detect and read Bengali number plates used in the metropolitan cities of Bangladesh. Our proposed automatic number plate recognition (ANPR) system involves image pre-processing and morphological operation followed by edge detection, regional localization and character segmentation to identify the Bengali characters...
Captcha recognition plays an important role in Internet security, and conglutination characters segmentation is still the bottleneck of captcha recognition research. In this paper, a method of captcha segmentation based on improved vertical projection can efficiently solve the segmentation problem of different types of conglutination characters in captcha combining both numbers and letters, so as...
The positioning and segmentation of oracle text on oracle bone rubbings is the key to the oracle recognition. Segmentation effect will directly affect the oracle recognition rate. To separate oracle text on oracle bone rubbings from complex noise, The original rubbings were preprocessed in order to achieve preliminary segmentation from complex background, Then the threshold segmentation was performed...
Due to the complex species, the changing dimensions and 2D nesting structure of mathematical formula symbols, the accuracy of symbol segmentation still cannot meet the actual needs. Projection is only suitable for simple mathematical formula without subscript and hierarchy. This paper presents a kind of improved algorithm based on the connected domain for symbol segmentation of mathematical formula...
OCR is the most active, interesting evaluation invention of text cum character processing recognition and pattern based image recognition. In present life OCR has been successfully using in finance, legal, banking, health care and home need appliances. The OCR consists the different levels of processing methods like as Image Pre Acquisition, Classification, Post-Acquisition, Pre-Level processing,...
This paper optimizes traditional license plate recognition system (LPRS) and for each original part with deficiencies, we give our own novel methods to refine them, such as integrating color and edge detection to increase the success rate of locating LPs as well as employing connected component analysis and vertical projection method alternatively to make segmentation more precise and efficient. For...
The relevance of this study is stipulated by the necessity of designing algorithms allowing to improve the efficiency of characters recognition on images with complex backgrounds subjected to noise, affine and projective transformations. Purpose: Development of algorithms and software system allowing to improve the efficiency of characters recognition on images with complex backgrounds subjected to...
There are several algorithms and methods that could be applied to perform the character recognition stage of an automatic number plate recognition system; however, the constraints of having a high recognition rate and real-time processing should be taken into consideration. In this paper four algorithms applied to Qatari number plates are presented and compared. The proposed algorithms are based on...
In the Completely Automated Public Turing test to tell Computer and Humans Apart recognition systems, character segmentation serves as a connecting link between the preceding and the following. By studying a variety of character segmentation algorithms, the improved method combined vertical projection algorithm, improved drop-falling algorithm and BP neural network classifier is proposed for merged...
Automatic license plate recognition (ALPR) is the technology for identification of license plate numbers from a video stream or an image without human interaction. ALPR has many applications such as registration or accounting (toll roads, checkpoints, and parking lots), search and tracking (recovery of stolen vehicles, capture of offenders, and other regulations of traffic laws), etc. There are many...
This paper presents improved Automatic License Plate Recognition (ALPR) system based on Single Pass Connected Component Labeling (CCL). This research describes an ALPR system which is capable of distinguishing license plates under various conditions, such as distance from the camera, rotation angle between camera and vehicle (0° to +/−45°) and also poor illumination contrast condition (different weather...
This paper presents time monitoring of vehicles using motion detection, vehicle tracking and number (license) plate identification technique. The time monitoring process is getting complex due to increase in the number of vehicles inside universities, colleges, companies or schools. The traffic flow at peak hours inside the campus, need to be monitored in an efficient way. Therefore, to automate this...
An efficient approach to recognize alphanumeric characters from different type of images using hybrid algorithm has been used in this paper. This algorithm can recognize characters from 90 percent blurred image whose blurredness has removed by using convolution operation. The algorithm is implemented using vision and motion toolkit of LabVIEW software. The real time images of license plates whose...
Text-line skew detection and correction is the first step in Arabic document recognition and analysis. It is a crucial pre-processing stage of Arabic Character Recognition (ACR). It has a direct effect on the dependability and efficiency of other system stages such as baseline detection, segmentation and feature extraction stages. In this paper an efficient skew detection and correction method for...
Aiming at a lot of weaknesses in manual inspection for defects inspection and characters recognition of nameplate, the paper proposed an application about inspecting and recognition of nameplate based on machine vision. This article firstly utilizes seed algorithm to process image, and remove incomplete nameplate image caused by shooting in order to retain nameplate's integrity. Secondly, it uses...
Optical Character Recognition alludes to the methodology of taking images or photos of letters or typewritten content and changing over them into information that a machine can easily interpret, e.g. organizations and libraries taking physical duplicates of books, magazines, or other old printed material and utilizing OCR to put them into computers. Segmentation is the indispensable and most difficult...
Traditional digital display instrument lacks the communication interface, and its intelligence is based on digital identification technology. To meet the real-time requirements of digital identification, this paper puts forward a complete set of digital recognition algorithm. It uses the Otsu method to carry out the threshold segmentation algorithm on images to be identified. Then it uses projection...
Character segmentation is a significant phase in an Optical Character Recognition (OCR) system. In this stage of OCR, the image of sequence of characters is decomposed into sub-images of individual symbols. The recognition of characters depends on this phase so that any mistake in the segmentation leads to a complete failure of the OCR system. One of the main reasons for incorrect segmentation of...
Automatic character segmentation is the first most fundamental and crucial step for the Optical Character Recognition (OCR) system. Though there have been a lot mature commercial OCR systems for controlled environment, the techniques of OCR are not as popular as expected for the complex uncontrolled environment. The bottleneck is character segmentation from noisy background. In this paper, we propose...
Optical Character Recognition (OCR) has gained so much importance among the researchers now a day as it is an eminent sector for a Human Computer Interaction (HCI) System. For an efficient recognition system the primary need is a reliable feature extraction process. So far the feature extraction systems used are mainly based on the character pattern, enclosure or symmetry. Still another property which...
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