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Organizing and rearranging library books in appropriate order requires attention and care of librarians. The book indexing and organizing algorithm will detect misplaced library books and suggest a proper position to the user. It can be implemented in a smartphone or a server or an autonomous embedded system. It first segments the captured image to find proper tag area in the book. Then crops that...
Automatic License Plate Recognition (ALPR) systems are employed for detection and recognition of license plate/number plate of vehicles. The performance of existing systems is well below the desired level. In this perspective, there is a definite need to propose a system to overcome the limitations of currently available systems. A new approach is being introduced in this paper for fast and efficient...
Character recognition from scanned images is a very complex task. But as for record keeping we require all the data in digital format to perform various manipulation operations. The main issue in case of character recognition is the different styles and fonts in which the text is written. We proposed a new approach by using the concept of Artificial Neural Network and Nearest Neighbour approach for...
Sindhi language is script language like Arabic and Persian. It's origin is 2500 years old and spoken in various countries in Asia. In this paper, we propose an Optical Character Recognition (OCR) system which recognizes handwritten Sindhi numeral expressions (i.e. Sindhi handwritten numeral strings) without using common input devices such as keyboard and storage device memory. Our experiments focus...
Unfortunately, there is very little opportunity for disabled people to get a job, especially for the visually impaired. Most of them survive by selling lottery tickets but it is difficult for the visually impaired to know the digits on a lottery ticket or the results. This paper presents an algorithm to recognize lottery digits and development of an application to read and check the lottery digits...
Optical Character Recognition (OCR) is the process of translating images of text into a comprehensible machine format. Generally, an OCR system is composed of binarization, segmentation and recognition stages. Given an extracted binary character, the recognition stage ensures its description and decides its corresponding ASCII code. In this paper, we propose a new OCR system that aims to high speed,...
Pattern Matching is useful for recognizing character in a digital image. Optical Character Recognition (OCR) is one such technique which reads character from a digital image and recognizes them. Line segmentation is initially used for identifying character in an image and later refined by morphological operations like binarization, erosion, thinning etc. The work discusses a recognition technique...
This paper is intended to support the preservation of national cultural asset, particularly for ancient symbols. By using image processing principle, an automatic system that can be designed and implemented to translate ancient manuscript documents. The system is composed of several phases, from scanning, preprocessing, segmentation, feature extraction and classification. Sample images of the document...
Character segmentation plays an important role in Optical Character Recognition (OCR) for Indian Script. The image to be segmented consists of various characters and is broken down into different segmented images of individual characters. These segmented characters are then fed to the Recognition phase of OCR. This paper covers only the segmentation of Devnagari script, as it consists of vowels, consonants...
Machine simulation of human reading has been a subject of intensive research for almost four decades. Automatic Urdu character recognition remains a challenging task due to its cursive nature despite the fact that the latest improvements in recognition methods and systems for Latin script are very promising. This work introduces a robust approach based on statistical models that provide solution for...
A Braille document image is a collection of dots. The position of the dot and relative-ness of the dot with other dots gives different Braille characters. It is challenging, to separate the character lines, words and characters from a Braille document. This paper presents an Optical Braille character recognition system for both machine punched and hand punched Kannada Braille text documents [21]....
A rotationally invariant optical character recognition system for Sinhala language is developed using Two Dimensional Fourier Transform and Artificial Neural Networks. Sinhala characters of different fonts and font sizes are recognized with over 85% recognition accuracy. Segmentation method based on histogram used in this system gives segmentation accuracy over 70% for complex Sinhala characters.
In this article, a system that allows optical recognition of characters in the Colombian national identity card is presented. The system is shaped by an image acquisition algorithm, by running drivers over Windows, working together with a methodology that does OCR by eliminating of the holographic background that is the mean trouble in this problem. Performance of this methodology was measured through...
Braille recognition is the ability to detect and recognize Braille characters embossed on Braille document. The result is used in several applications such as embossing, printing, translating…etc. However, the performance of these applications is affected by poor quality imaging due to several factors such as scanner quality, scan resolution, lighting, and type of embossed documents. In this work,...
This paper presents an optical Bangla character recognition (OCR) system using Freeman Chain Code and feed forward back propagation neural network which provides much higher performance than some other traditional approaches. After scanned the printed Bangla document, preprocessing and segmentation has done. In the feature extraction stage Freeman Chain Code is used. Finally, feed forward back propagation...
India is a multilingual and multi-script country where a line of a bilingual document page may contain text words both in regional language and in English. Recognition of documents containing multi-scripts is really a challenging task, which needs more effort of the OCR designers for improving the accuracy rate. This paper presents a Bilingual OCR system for printed Malayalam and English text. Here...
Optical Character Recognition consists of various steps like skew detection, segmentation of columns, lines, words, and characters before feeding the isolated character to an optical character recognition system. Several methodologies are followed to perform these steps using conventional Hough Transformation. In this paper, a new algorithm is proposed to perform all those steps involved in document...
This paper proposes an adaptive staff line removal method for music score images. The staff line removal is a key procedure in Optical Music Recognition (OMR) before musical symbol segmentation and classification. The proposed method consists of four main procedures, i.e., ROI(Region of Interest) selection, candidate point extraction, rotation correction and staff line removal. It selects a ROI, extracts...
Optical character recognition (OCR) is a very active field for research and development, and has become one of the most successful applications of automatic pattern recognition. To avoid the curse of dimensionality and improve the recognition performance, an optical character recognition system based on image preprocessing technologies combined with least square support vector machine (LS-SVM) has...
There are many applications of plate identification in pattern recognition and machine vision. These applications range from complex security systems to commons areas and from parking admission to urban traffic control. Car license plate recognition (CLPR) has complex characteristics due to diverse effects as fog, rain, shadows, irregular illumination conditions, partial occlusion, variable distances,...
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