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Automated license plate recognition (ALPR) is essential in several roadway imaging applications. For ALPR systems deployed in the United States, variation between jurisdictions on character width, spacing, and the existence of noise sources (e.g., heavy shadows, non-uniform illumination, various optical geometries, poor contrast, and so on) present in LP images makes it challenging for the recognition...
In order to classify the eaglewood, the work proposed a method of wood fiber segmentation and characteristic extraction based on the eaglewood micrographs. The active contour model was used to extract the contours of the eaglewood micrographs. After screening of wood fiber, the geometric features and shape factors were extracted to form characteristic vectors. After that, SVM was used to achieve the...
Now days reading words from an unconstrained and noisy image is not easy. Text localization and recognition in an image is a research area which takes efforts to develop a computer system with an ability to automatically read the text from images. The Optical Character Recognition (OCR) tool gives good results obtained to read the text from an image. The objective of this study is to propose a new...
The aim of this paper is to develop a system that involves character recognition of Brahmi, Grantha and Vattezuthu characters from palm manuscripts of historical Tamil ancient documents, analyzed the text and machine translated the present Tamil digital text format. Though many researchers have implemented various algorithms and techniques for character recognition in different languages, ancient...
One of the major reasons for the poor recognition rate of Devanagari OCR is the inadequate handling of dika, vowel modifiers and half forms of consonants, conjuncts, and touching characters during segmentation. We attempted to minimize the segmentation errors by reducing the segmentation tasks. In this work, we propose a hybrid OCR system for printed Nepali text using the Random Forest (RF) Machine...
The aim of this paper is to develop a system that involves character recognition and information retrieval of Brahmi, Vattezhuthu and Grantha letters from temple epigraphy and their conversion to the present Tamil digital text format. Though many researchers have implemented various algorithms and techniques for character recognition in different languages, Ancient letter conversion still poses a...
Earlier, research was restricted to the images acquired by traditional scanners, however an innovative trend of research has emerged with the evolution of portable, high speed digital cameras and multimedia mobile phones comprising smart features. They provided us the opportunity to employ them for image acquisition as an alternate to traditional scanners for the recognition purpose. This subject...
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...
This paper presents an application system to extract and recognize text in Trademark and Logo images. Many methods have been proposed to address image text detection and recognition problems, and some of them have achieved impressive results for some specific applications. But recognition of Multi-oriented characters and numerals in Trademark and Logo images is still a challenge due to the variations...
In recent year's availability of economical image capturing devices in low cost products like mobile phones has led a significant attention of researchers to the problem of recognizing text in images. Recognition of scene text is a challenging problem compared to the recognition of printed documents. In this work a novel approach is proposed to recognize text in complex background natural scene, word...
Segmentation is one of the important steps of character recognition system. It is an important step because inaccurate segmentation of characters will cause errors in the recognition stage. In optical character Recognition (OCR) system the presence of touching characters and broken characters decreases the accuracy rate of character recognition. Touching of half character or full character with other...
To take care of variability involved in the writing style of different individuals a novel approach has been proposed in this article to segment unconstrained handwritten Bangla words into characters. Online handwriting recognition refers to the problem of interpretation of handwriting input captured as a stream of pen positions using a digitizer or other pen position sensor. For online recognition...
This Automatic license plate recognition (LPR) is an important technique in the intelligent transport system. It has been widely adopted into numerous applications such as unattended parking, security control and stolen vehicle verification. In general, LPR systems consist of two separate modules: Plate detection and characters recognition. Several methods have been proposed for the detection of license...
The large amount of Myanmar document images are getting archived by the Digital Libraries, an efficient strategy is needed to convert document image into machine understandable text format. The state of the art OCR systems can't do for Myanmar scripts as our language pose many challenges for document understanding. Therefore, this paper plans an OCR system for Myanmar Printed Document (OCRMPD) with...
Among all the existing segmentation techniques, thresholding technique is one of the most popular one due to its simplicity, robustness and accuracy. Multi-thresholding is an important operation in many analyses which is used in many applications. Selecting correct thresholds to get better result is a critical issue. In this research, a multilevel thresholding method is proposed based on combination...
Kannada script has large number of characters with similar looking shapes among characters and characters belonging to same class have higher variability across different set of fonts. Moreover, the Kannada characters are formed by combination of basic symbols, recognition of the Kannada character is complex and challenging task. The better approach for recognition is to segment characters into basic...
The field of Handwriting recognition has evolved over the past three or four decades into a broad based activity which has had a measurable impact on applications. Some of the most significant practical impact has occurred in the past decade in handwriting recognition. Successful application of the established methods requires good understanding of their behavior and how well they match a particular...
Handwritten character recognition has received extensive attention in academic and production fields. The recognition system can be either on-line or off-line. Off-line handwriting recognition is the subfield of Optical Character Recognition . In this paper, We introduce the fundamental principles of Chinese handwritten numerals, including digital image preprocessing, segmentation, features extraction...
This paper presents a smart and simple algorithm for vehicle's license plate recognition system. The proposed algorithm consists of three major parts namely detection of license plate from an image, segmentation and recognition of characters. For detection of the license plate, a memory and speed proficient algorithm has been proposed. After detection, statistical based template matching is used for...
Owing to special structure Tibetan characters, the recognition of traditional Tibetan characters encounters the problems of low recognition rates and poor recognition effects. Through conducting an in-depth study on features of the printed Tibetan characters, this paper develops a series of methods to increase recognition rate and improve the recognition effects of Tibetan characters even in the case...
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