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Digitization of documents has gained prominence in the recent past for data preserving. Paper documents can be converted to digital form by using various modes of acquisition techniques. In this paper processing of data captured using normal digital camera has been considered. The camera captured document images may contain warped document due to perspective and geometric distortions. Curvature of...
Automatic Number Plate Recognition (ANPR) is one of the important research topics in the intelligent systems. Providing information about the vehicle and its owner details. ANPR system plays an important role in intelligent transportation system where it is used in detecting stolen vehicles, traffic and parking access control system, etc. The automatic identification system on the number plate was...
Word segmentation of handwritten documents is a vital step in the Optical Character Recognition system as its accuracy greatly influences the overall recognition performance. In the literature, various methods have been proposed for word segmentation of handwritten documents of various languages. However, it is observed that for Odia, which is an important Indian language, very little work has been...
Optical character recognition or OCR becomes necessary first step for all applications that consider typewritten or handwritten manuscripts as input. We need to train our classifier in case we are considering to use data mining techniques for such purposes. There are several established generic classification techniques that can be used together with feature extraction mechanisms but it is important...
Recently, Automatic Number Plate Recognition (ANPR) systems have become widely used in safety, security, and commercial aspects. The whole ANPR system is based on three main stages: Number Plate Localization (NPL), Character Segmentation (CS), and Optical Character Recognition (OCR). In recent years, to provide better recognition rate, High Definition (HD) cameras have started to be used. However,...
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...
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...
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...
Development of Optical Character Recognition (OCR) for printed Roman script is still an active area of research. Automatic Style Identification (ASI) can be used to improve the performance of OCR system and keyword spotting techniques for printed Roman script. This paper proposes a two stage font invariant technique for detection of italic, bold, underlined, normal and all capital styled words for...
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...
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...
License plate detection and character recognition have unveiled new possibilities and challenges in the field of intelligent transport system. Numerous algorithms have been proposed regarding license plate localization and tracking, character segmentation and character recognition. License plate character recognition is still an active area of research specially in terms of processing complexity....
In this paper, a system for text extraction on images taken by grabbing the content from the TV screen is presented. The main goal is the image preparation for the Optical Character Recognition (OCR) to improve its accuracy. Recognized text is used for automatic generation of TV menu system structure. This menu structure is used for verification of TV set operation. The contents of the output file...
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....
Skew angle estimation is an important component of optical character recognition (OCR) systems. In this paper, a new optimizing method is introduced that is called “Finding the Skew with Radon (FSR)” in order to estimate the skew of the handwritten text. The above mentioned method has three stages. First of all, input text image is converted into a binary form and then the words and sub-words are...
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...
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...
Character segmentation has long been a critical area of the Optical Character Recognition. In this paper, we present an algorithm for character segmentation for Indic and Roman scripts. Character segmentation is difficult for Indic scripts because in these scripts characters are connected with the Shirorekha or headline and the regions bounding the two consecutive characters might overlap because...
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...
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