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Designing of an automated parking fee calculation using license plate recognition aims to solve the problem of identifying the vehicle license plate number at the parking lot. The image processing theories and researches related to character recognition were used to design the system. The techniques used in this system are RGB Image to Grayscale Image, Grayscale Image to Binary Image, Edge Detection,...
In order to make the computer own the knowledge about Chinese vehicle license plate segmentation and recognition, the paper put forward a set of algorithms about license plate segmentation and recognition. The algorithms are divided into four parts: image preprocessing, license plate location, license plate segmentation and character recognition. The aim of image preprocessing is quickly and easily...
Though license plate detection and recognition system has a lot of applications but a very little work has been done on Bangla license plate recognition. Variations among the license plate patterns and complex background of Bangladeshi license plates make it more difficult to use the existing algorithms. Because of this, we propose a solution for Bangla license plate detection and recognition. Firstly,...
Optical Character Recognition (OCR) is an important area of pattern recognition. Automatic OCR system is one kind of intelligent system which is very important to the current automation systems such as ATMs. In this paper, a RMB OCR (ROCR) system is implemented using FPGA, which consists of Character Segmentation (CS) module and OCR module. The CME M7 was used for the implementation. 83.30% Logic...
The preeminent reason for poor output in Optical Character Recognition (OCR) for Bangla text is introduced by segmentation related error. Different shape of characters, connected characters, modifiers in top and bottom, overlapped region between consecutive characters are the main obstacle for effective segmentation for Bangla printed text. In this paper an efficient strategy is introduced to segment...
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...
Optical Character Recognition (OCR) is one of key research areas of Artificial Intelligence (AI), and image text recognition is one of challenging fields of OCR. Presented work offers a character recognition system for cursive script (e.g., Arabic, Urdu, etc.) segmented characters from their images. Presented methodology consists of phases namely (1) Image Acquisition, (2) Preprocessing, (3) Chain...
In this paper, we present an Automatic License Plate Recognition System (ALPRS) to identify license plates which is an application of image processing. The main process of ALPRS is divided into four steps: The noise in the image is removed by using FMH filter. A simple algorithm is used for background subtraction. Canny edge detection is used to localize the license plate location. Finally, letters...
Immense analysis has been done on optical character recognition (OCR). Numerous works has stated for English, Chinese, Devanagari, Malayalam, Arabic scripts, etc. Segmentation has imp phase in OCR and various articles have been published on different segmentation methods like Thinning, histogram etc for different script during last few years. Generally there is not work done on Overlapped and touching...
In the area of image processing and Optical Character Recognition, Segmentation is one of the steps which plays an important role in dealing with offline and online text images. Character segmentation means breaking an image with word into a sequence of characters. A broad perspective of segmentation lies in segmenting the characters in CAPTCHA (Completely Automated Public Turing Tests to Tell Computers...
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...
Rising admissions in the South African institutions of higher education have enlarged student-to-lecturer ratios and increased the lecturer's workload, already burdened by administrative tasks. After marking tests, lecturers usually fill in a document called the cover page where the student's number, name and marks according to the questions are placed. Once this is done, they will have to recopy...
As is well known, good segmentation is one reason for high accuracy of character recognition; this paper proposes and investigates a new technique for segmentation of handwritten Arabic scripts. A new Arabic heuristic segmenter (AHS) has been implemented. The AHS employs three new features to locate a Prospected Segmentation Point (PSP) based on shape of the word image, first, remove the punctuation...
This paper describes the technique of extracting vehicle license-plate and interpretation of the registration code from a captured image in real-time. The developed algorithm is divided into three stages: extraction of vehicle license plate from captured image, segmentation of license plate components and recognition of the license plate characters for interpretation of vehicle registration code....
An Optical Character Recognition (OCR) system with high recognition rate is challenging to develop. One of the major contributors to OCR errors is smeared characters. Several factors lead to the smearing of characters such as bad scanning and a poor binarization technique. Typical approaches to character segmentation falls into three major categories: image-based, recognition-based and holistic-based...
Automated license plate recognition can be used for many applications such as detecting traffic light violations, access controlling, calculating parking fee and so on. However, detection and recognition of license plates can be seen as a complex problem. This paper presents an algorithm which can be used in Sri Lanka, for detecting and recognizing license plates automatically using image processing...
In this paper, a new algorithm for Automatic License Plate Localisation and Recognition (ALPR) is proposed on the basis of isotropic dilation that can be achieved using the binary image Euclidean distance transform. In a blob analysis problem, any two Region of Interest (RoIs) that is discontinuous are typically treated as separate blobs. However, the proposed algorithm combine with Connected Component...
Handwriting recognition has been one of the active and challenging research areas in the field of image processing and pattern recognition. It has numerous applications which include, reading aid for blind, bank cheques and conversion of any hand written document into structural text form. In this paper an attempt is made to recognize handwritten characters for English alphabets without feature extraction...
Text detection and localization in natural scene images is important for content-based image analysis. This problem is challenging due to the complex background, the non-uniform illumination, the variations of text font, size and line orientation. In this paper, we present a hybrid approach to robustly detect and localize texts in natural scene images. A text region detector is designed to estimate...
The old documents in Jawi script are being used widely for references. The hard copies of those scripts will deteriorate as time passes. Most of the previous works on Jawi documents focused on the character recognition and the accuracy of the algorithm was very much affected by noise. An effective preprocessing method is required to binarize degraded Jawi document. In this paper, a new technique to...
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