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Edge detection is a type of image segmentation techniques which determines the presence of an edge or line in an image and outlines them in an appropriate way. The main purpose of edge detection is to simplify the image data in order to minimize the amount of data to be processed. Generally, an edge is defined as the boundary pixels that connect two separate regions with changing image amplitude attributes...
Segmentation of line, word and character are one of the critical phases of optical character recognition (OCR). Due to the imperfection in segmentation, most of the recognition system produce poor recognition rate. In this paper we are discussing some novel approach for line, word and character segmentation of printed Manipuri document. Few works has been done for optical character recognition on...
This paper proposes a novel license plate recognition method based on complex network to improve the accuracy of character recognition under the interference environment. An adaptive multi-threshold method based on the block separation and the feature lines of the image is proposed for the fast image binarization. Then the characters segmentation is performed using region labeling algorithm and the...
Text-based CAPTCHA images have been widely utilized in on-line applications to anti malicious programs which attempt to make failure in execution or computation. Although installing CAPTCHA enhances system's security, it has to be continuously analysed, improved and developed for hard decoding or extracting from intrusion of automatic programs. This paper is mainly focused on examination of text-based...
In this paper we propose a neural net based characters recognition scheme for Bangla printed text books. There are a lot of scientific literature, novels, magazines and books etc that are written in Bangla language. More than 400 million people use Bangla language. Most of the library and educational institutions want to keep copy of the books in a digital format. For storing those books in digital...
This paper presents an innovative technique to recognize Handwritten Articles. Proposed system is called "Panhinda". The target user group for this application would be the people who are involved with a lot of paper work on a daily basis. The proposed Character Recognition system was implemented with the capability of extracting the content of an image where the mentioned content is a hand...
Aiming to the problem that semi-characters seriously affect character recognition accuracy in the process of automatic meter reading, we proposed a new method to recognize characters automatically which is based on improved BP neural network. First, we preprocess the image with morphology and locate the character area by combining projecting method and the characteristics of the gray transition, then...
This article mainly researches on license plate automatic recognition technology which is used in parking management system. LPRS could replace the traditional methods like swiping card or artificial recognition in license plate recognition, the process is divided into four stages: image preprocessing, license plate localization, character segment and character recognition, and to set up a software...
Segmentation of handwritten Bangla script is one of the most critical areas of the Optical Character Recognition System. Paying attention on the various writing style of different individuals we propose an efficient scheme to segment unconstrained handwritten Bangla script into lines, words and characters. At First for Line Segmentation, we divide the whole script into column segment. These segments...
This paper examines the problem of decoding a unique CAPTCHA that has very high noise levels with only partially visible symbols with variable spacing but no skewing. An ingenious method for decoding is proposed that starts with preprocessing the image and identifies symbols first before removing them from the image, unlike a number of existing methods. The algorithm is expected to be very fast owing...
The aim of this research is to develop character recognition techniques for a Mongolian script which can be used in the digitization process of contents written in traditional Mongolian script. In this paper, we introduce a word search system developed for Mongolian-specific documents, as an initial result of the research goal. To have quick and robust searching result, we develop a center-line-matching...
Persian License Plate Detection and Recognition System is an image-processing technique used to identify a vehicle by its license plate. In fact this system is one kind of automatic inspection of transport, traffic and security systems and is of considerable interest because of its potential applications to areas such as automatic toll collection, traffic law enforcement and security control of restricted...
Artificial immune systems[1–2] are highly distributed systems based on the principles of the natural system. In this paper, handwritten Icelandic character recognition strategy using artificial immune system was proposed and carefully experimented. With 73 feature coefficients extracted from 24∗24 handwritten Russian uppercase character image using 36 sub-meshing coefficients, 24 traversing-times...
This paper proposes an approach to recognize handwritten Tamil Character recognition. Handwritten Tamil character recognition refers to the process of conversion of handwritten Tamil character into printed Tamil character. It is difficult to process handwritten characters due to the great variations in writing styles, different size and orientation angle of the characters. In the proposed system the...
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...
In this paper, we present an approach to recognizing characters in surface mount technology (SMT) product. The recognition rate of SMT product character is not very good, because of unexpected noise in SMT the product character image. An improved SMT product character recognition method is proposed which can improve the recognition rate. At first, the character image is changed into a gray image....
In order to improve the accuracy of license plate character segmentation, this paper strengthens preprocessings before segmentation. In character binarization, use improved Bernsen method to reduce noise interference; use line-shape filter to remove plate frames. Then character segmentation approach combines projection and inherent characteristics of character, can better solve character adhesion...
My paper accomplishes the problem of recognizing the license plate number from the license plate image with a simple and fast method in order to resolve the problem that is too complicated and high cost in recognizing license plate number of Intelligent Transportation System. This paper extracts the license plate image from rows and lines with the method of counting color pixels. We use the method...
This paper presents a boundary representation algorithm, the algorithm is developed for Nastaliq characters, but is it general in nature and can be used for boundary representation of any object. The basic idea is that instead of storing and computing the chain code of each pixel, segments of the object are computed by using corner points and a new B-Rep code is developed for the segments not for...
Scale invariant code is a code that will remain identical even when we change the scale of an object means when we scale in/out, the output chain code will remain same, so it can be used in object representation and recognition. The algorithm is developed for Nastaliq characters, but is it general in nature and can be used for boundary representation of any object. The basic idea is that instead of...
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