Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 20 of 28 for “"Optical character recognition (OCR)"”.
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The role of the Elementary Perceiver and Memorizer (EPAM) in optical character recognition (OCR)
… the role of EPAM is studied in terms of an OCR machine. The model is described in some detail. Its strengths and shortcomings have been pointed out. Some suggestions are provided for its shortcomings. Two of the suggestions are implemented and tested in this thesis. In EPAM, objects of any …
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Data Capture Automation in the South African Deeds Registry using Optical Character Recognition (OCR)
… of manual data capture is tested using an OCR pipeline. To adapt to the linguistics used in title deeds, text analysis and parsing is done using Regex. Uploading the scanned title deeds onto IPFS is as an additional security measure included in the pipeline. Previous research has failed to …
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A relational post-processing approach for forms recognition
Optical Character Recognition (OCR) is used to convert paper documents into electronic form. Unfortunately the technology is not perfect and the output can be erroneous. Conversion then is generally augmented by manual error detection and correction procedures which can be very costly; One approach …
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Autotag: A tool for creating structured document collections from printed materials
Today's optical character recognition (OCR) devices ordinarily are not capable of delimiting or "marking up" specific structural information about the document such as the title, its authors, and titles of sections. Such information appears in the OCR device output, but would require a human to go …
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Predictor of OCR accuracy using statistical techniques
Systems that predict optical character recognition (OCR) accuracy of an input image by a given OCR system were developed. Seven features associated with image defects were identified and utilized. Two kinds of nonparametric classification engines, the nearest neighbor rule-based and neural …
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The use of synthesized images to evaluate the performance of Ocr devices and algorithms
… images can be used to predict the performance of Optical Character Recognition (OCR) algorithms and devices. The value of this research lies in reducing the considerable costs associated with preparing test images for OCR research. The paper reports on a series of experiments in which synthesized …
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Adaptive restoration of text images containing touching and broken characters
… automated data entry is generally performed by optical character recognition (OCR) systems. To make these systems practical, reliable OCR systems are essential. However, distortions in document images cause character recognition errors, thereby, reducing the accuracy of OCR systems. In document …
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An Artificial Intelligence Based Approach to Automate Document Processing in Business Area
… to improve operational efficiency. With Optical Character Recognition (OCR) and machine learning techniques, businesses are able to apply Artificial Intelligence (AI) to automate the process. However, introducing an AI application to business is challenging; it is easy to fail because of …
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Mathematical Expression Detection and Segmentation in Document Images
… are employed in order to enhance the accuracy of optical character recognition (OCR) in document images. Type-specific document layout analysis involves localizing and segmenting specific zones in an image so that they may be recognized by specialized OCR modules. Zones of interest include titles, …
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Evaluation of page quality using simple features
A classifier to determine page quality from an Optical Character Recognition (OCR) perspective is developed. It classifies a given page image as either "good" (i.e. high OCR accuracy is expected) or "bad" (i.e., low OCR accuracy expected). The classifier is based upon measuring the amount of white …
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Ocr: A Statistical Model Of Multi-engine Ocr Systems
… is a benchmark performed on three commercial Optical Character Recognition (OCR) engines. The purpose of this benchmark is to characterize the performance of the OCR engines with emphasis on the correlation of errors between each engine. The benchmarks are performed for the evaluation of the …
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Autonomous Repair Of Optical Character Recognition Data Through Simple Voting And Multi-dimensional Indexing Techniques
The three major optical character recognition (OCR) engines (ExperVision, Scansoft OCR, and Abby OCR) in use today are all capable of recognizing text at near perfect percentages. The remaining errors however have proven very difficult to identify within a single engine. Recent research has shown …
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Adaptive sorting algorithms for evaluation of automatic zoning
Optical Character Recognition (OCR) involves analysis of machine-printed and hand written document images. The first step in an OCR process is to locate the text to be recognized on a page. An OCR device tries to identify the characters in these text regions and outputs the characters in ASCII. To …
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Geometric correction of historical Arabic documents
… significantly influence the success of both Optical Character Recognition (OCR) techniques and human readability. They may have been introduced at any time during the life cycle of a document, from when it was first printed to the time it was digitised by an imaging device. This Thesis …
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A backpropagation neural network in an address block classification system
… A major component in these systems is the use of Optical Character Recognition (OCR) to read the destination address and ZIP Code, and then bar code the mail piece. High speed sorting equipment can then sort the mail using the bar code. Current USPS OCR/automated mail handling systems only process …
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Experiments in Image Segmentation for Automatic US License Plate Recognition
License plate recognition/identification (LPR/I) applies image processing and character recognition technology to identify vehicles by automatically reading their license plates. In the United States, however, each state has its own standard-issue plates, plus several optional styles, which are …
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Applications of Computer Vision in Evaluating the Effects of New Housing Projects
… investigate how modern computer vision tools can characterize the visual quality and linguistic diversity of cities and leverage on these novel metrics to study the impact of new housing projects. Streets form a public space and how they look plays an important role in shaping how walkable they …
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FingerEye: An Electrotactile-mechanism Enabled Adaptive Sensory-substitution Aid for the Blind and Visually Impaired
… and controlling pattern stimulation; an improved Optical Character Recognition (OCR) algorithm for extracting the text; an amplitude modulation technique to control the voltage delivered to the skin; and the Kalman filter to predict and guide the fingertip over the text lines. In addition, …
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Text-image Restoration And Text Alignment For Multi-engine Optical Character Recognition Systems
… research showed that combining three different optical character recognition (OCR) engines (ExperVision® OCR, Scansoft OCR, and Abbyy® OCR) results using voting algorithms will get higher accuracy rate than each of the engines individually. While a voting algorithm has been realized, …
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An image-text model for effective retrieval of seventeenth-century Spanish American notary records
… documents has predominantly utilized traditional optical character recognition (OCR) techniques, which struggle with the varied and complex handwriting styles. In this thesis, we investigate the potential of an image-text model that captures the semantic similarities between image and text pairs, …
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