Top Research Papers on OCR

The present state of the art in OCR has moved from primitive schemes for limited character sets, to the application of more sophisticated techniques for omnifont and handprint recognition.

This article examines OCR in four different ways, providing detailed information about the difficulties that may arise during OCR, and examines the general stages of OCR systems such as preprocessing, segmentation, normalization, normalization and extraction.

This paper presents a simple, efficient, and less costly approach to construct OCR for reading any document that has fix font size and style or handwritten style and uses database to recognize English characters which makes this OCR very simple to manage.

The functionality of OCR opus was extended to work with any language by creating support for UTF-8 character encoding and a character and language model for the Hungarian language was created.

This entry is a basic overview of the technology and uses of optical character recognition (OCR), a technology used to capture text from printed page and convert it to a machine-readable format.

The long history of research, commercial success, and the continuing need and ability to handle less restricted forms of text make OCR the most important application area in machine perception to date.

La technologie de reconnaissance optique des caracteres (ROC) devient partie integrante des systemes de gestion de documents. Si la ROC est fournie par un scanner ou un serveur de reconnaissance, cette technologie sera de plus en plus utilisee pour l'indexation automatisee des documents balayes et pour la saisie automatisee des donnees en vue de la mise a jour d'une B.D. Pour ameliorer le procede, des recherches sont faites pour developper un logiciel «intelligent» de reconnaissance. Les differentes approches actuellement adoptees sont analysees. (INTD)

This paper proposes an OCR system based on a Convolutional Neural Network model that increases the handwritten data's efficiency or accuracy by 98.32%.

Different Optical Character Recognition packages for use on borehole scans, including ScanSoft OmniPage 15, ABBYY FineReader 8, Readiris Pro 10 and TextBridge Pro 11, were analysed against certain criteria to determine which one would be more beneficial by increasing the speed of borehole data entry.

In the running world, there is growing demand for the software systems to recognize characters in computer system when information is scanned through paper documents as the authors know that they have number of newspapers and books which are in printed format related to different subjects.

A highly data-parallelized implementation of OCR for typewritten text onto the linear processor array of the Xetal chip is presented.

The experiment result indicated that using Asprise OCR in extracting the text elements from the image was high accuracy among the free and simple OCR.

Cutting-edge techniques, such as deep learning-based approaches, transformer architectures, and attention mechanisms, are discussed, highlighting their role in improving accuracy and efficiency in text recognition tasks.

The project effort resulted in an evaluation of a correlation technique as implemented in an existing computer software program, as applied to automatic recognition of typeset printed characters which were sampled and digitized on a high-resolution scanner.

Optical Character Recognition is software that converts printed text and images into digitized form such that it can be manipulated by machine and established a niche place in pattern recognition.

“ i” aims at a high speed, simple, font independent and size independent OCR system based on a unique segment extraction technique that can be used as a kernel for single alphabet detection within a complete OCR solution system without the need for any complex mathematical operations.

The results of a survey of 1978 Optical Character Recognition (OCR) technology conducted by NORDA Code 302, the Mapping, Charting, and Geodesy Development Group are presented.

This book is about Optical Character Recognition (OCR) Systems; how to operate them for maximum throughput and achieve the highest possible accuracy in the process.

The paper starts with an introduction and brief background and history of Optical character recognition (OCR) systems, then the various techniques of OCR systems such as optical scanning, location segmentation, pre-processing, feature extraction and post-processing are presented.

Techniques described herein provide for automatically and intelligently create and update the cache memory while using OCR method of performing OCR computing device.

Camera system having a dual embedded optical character recognition (OCR) engine includes a camera module for capturing an image of the vehicle that includes a license plate having a License plate number that contains the character.

Here, discussed the design and implementation of assistive platforms, and combine today's growing technology along with smart phone capabilities with the advantages offered by the high scalable and reactive cloud resources, making it a more economical and cost-effective way.

A number of people are asking whether the concept of “smart gates” might also prove beneficial at the quayside and in the yard.

An attempt has been made to summarize different procedures and aspects of preprocessing adopted in implementing these preprocessing techniques used in offline OCR in the hope that this may help the research community towards the gaining of knowledge of different preprocessing Techniques used inOffline OCR.

The Optical Character Recognition (OCR) System is a simple system that can be used to translate the image that contains text to the computerized text that display in note pad file.

The intention is to build an automatic text localization and extraction system which is able to accept different types of still images (or video frames) possibly with a complex background.

INO's optical correlator is presented and it is shown that good results can be obtained on gray-scale real- life images when a multiple composite-filters strategy combined to an innovative classification method.

The survey of different techniques used by the researcher for dynamic pattern and character recognition is given, to recognize handwritten character using optical character recognition.

An optical assessment method was proposed to help translation algorithms first assess whether the Korean text has been written as English syllables in Korean or in true Korean vocabulary before producing translated phrases.

The OpenITI team has achieved Optical Character Recognition (OCR) accuracy rates for classical Arabic-script texts in the high nineties, which represent a distinct improvement over the actual accuracy rates of the various proprietary OCR options.

En este trabajo, se implementaron técnicas para el reconocimiento digital de caracteres, utilizando la técnica OCR (Reconocimiento Óptico de Caracteres), que implementa métodos como binarización, etiquetado, esqueletización y proyección de trazas en las imágenes, para reconocer caracteres que optimizan los procesos en la abstracción y digitalización de libros, revistas u otras fuentes de información que pueden digitalizarse y luego manipularse en su formato digital.

This attempt was taken to improve the accuracy of Sinhala character recognition using deep learning mechanisms using Tesseract, an open-source, deep-learning based OCR engine developed by Google.

A database of Telugu characters, a deep learning based OCR algorithm, and a client server solution for the online deployment of the algorithm are made available.

The system aims to democratize access to educational resources by extracting text from English PDFs using OCR and then translating and teaching the content in the user’s preferred language through AI.

Experimental results show that watermark attacks can yield a set of natural adversarial examples attached with watermarks and attain similar attack performance to the state-of-the-art methods in different attack scenarios.

This paper aims to demonstrate the efforts towards in-situ applicability of EMMARM, which aims to provide real-time information about concrete mechanical properties such as E-modulus and compressive strength.

It is found that OCR text accuracy can be improved with different stages of pre-OCR image processing: filtering out low-contrast images to avoid hallucination of characters, removing marks from images with cleanup software to prevent their misrecognition, and zoning multi-column images with segmentation software to enable recognition of all zones.

This research on this OCR aims at resulting in the research done so far in this field ofiOCR, the process of extracting text from an image which is to make documents which can be editable from existing paper documents or even image files.

The system reduced noise from load cell sensor readings using a simple moving average noise filter method, the Simple Moving Average (SMA) method, which can reduce the average noise to 0.420 grams which is stable at around 1503 RPM - 1509 RPM, and has minimal vibration.

This research paper delves into the exploration of OCR technologies aimed at addressing the inherent challenges associated with recognizing handwritten text and investigates pre-processing techniques to enhance the accuracy of character prediction.

This thesis will improve results Optical Character Recognition (OCR) by choose the original image based on (APTI) Arabic Printed Text Image Database and create web service that can optimize image effects automatic and insert it to best the Arabic OCR to make the results better.

A performance analysis of character recognition by two different methods is presented, observing that the perceptron network converges faster, where as the BPN can handle the complex script recognition when the training set is enriched.

In this work visually impaired individuals can shop from the store without assistance of any other individual but an android based PDA.

Of the methods tested here, the most successful in terms of efficiency used a protocol which required entering data into a limited set of fields and where the records were filtered by Collector and Country, where a familiarity with the Collector or Country is rapidly established.

An extensive analysis of the performance of OCR systems in the Brazilian Portuguese language, specifically in the Brazilian Portuguese language, in the context of detecting misinformation spread through images on social platforms reveals the influence of analyzed image aspects on OCR accuracy.

The method used in this study is Optical Character Recognition, this method can recognize text contained in images or handwritten images of mathematical number operations and the results obtained were 85% accuracy of extraction and accuracy of handwritten images that can be calculated and correct by 85%.

The first stage of preparing texts for COMPARA described here involves correcting OCR problems, removing parts of the text that are not needed, and introducing a number of tags that are necessary.

The role of EPAM is studied in terms of an OCR machine, and the model is described in some detail, its strengths and shortcomings have been pointed out.

Instrumen pembayaran yang saat ini umum digunakan diseluruh dunia ialah uang kertas. Saat ini, perkembangan sistem teknologi yang semakin canggih membuat seluruh aktivitas dan pekerjaan yang dilakukan oleh seseorang dapat diselesaikan lebih mudah dan lebih cepat. Salah satu keringanan yang dapat dinikmati oleh masyarakat adalah adanya teknologi atau sistem yang mampu mendeteksi/mengenal nominal dari uang kertas.  Pada penelitian ini, penulis mengusulkan metode untuk mendeteksi nominal uang kertas dengan menggunakan OCR (Optical Character Recognition). Tahapan-tahapan untuk mendeteksi nominal d...

The main motive of automatic number plate recognition is to monitor the congestion, traffic control, Smart Parking system, safety and surveillance of the drivers.