Optical Character Recognition Systems

ثبت نشده
چکیده

Abstract Optical character recognition (OCR) is process of classification of optical patterns contained in a digital image. The character recognition is achieved through segmentation, feature extraction and classification. This chapter presents the basic ideas of OCR needed for a better understanding of the book. The chapter starts with a brief background and history of OCR systems. Then the different techniques of OCR systems such as optical scanning, location segmentation, pre-processing, segmentation, representation, feature extraction, training and recognition and post-processing. The different applications of OCR systems are highlighted next followed by the current status of the OCR systems. Finally, the future of the OCR systems is presented.

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Optical Character Recognition on Grid and Multi-core Systems – Performance Analysis

Original scientific paper Requirements of digital libraries for computing power, as well as needs of smaller users for automated document processing and digitization are growing, making grid environments and multi-core systems a preferred platform for optical character recognition applications. This paper examines character recognition performance on the CRO-NGI grid and on two multi-core syste...

متن کامل

Printed Text Character Analysis Version-I: Optical Character Recognition with the new User Training Mechanism

The present system aspires to analyse snapshots of written text and create fully customizable text files using Optical Character Recognition (OCR) technology. It is well known that the discrepancies in typed optical language have led to the advent of new technology for assessing the written text. Many font sizes and styles are introduced everyday calling for frequent updates in recognition tech...

متن کامل

Intelligent Systems for Off-Line Handwritten Character Recognition: A Review

Handwritten character recognition is always a frontier area of research in the field of pattern recognition and image processing and there is a large demand for Optical Character Recognition on hand written documents. This paper provides a comprehensive review of existing works in handwritten character recognition based on soft computing technique during the past decade. KeywordsHandwritten Cha...

متن کامل

Neural Network Based Recognition System Integrating Feature Extraction and Classification for English Handwritten

Handwriting recognition has been one of the active and challenging research areas in the field of image processing and pattern recognition. It has numerous applications that includes, reading aid for blind, bank cheques and conversion of any hand written document into structural text form. Neural Network (NN) with its inherent learning ability offers promising solutions for handwritten characte...

متن کامل

Cryptogram Decoding for Optical Character Recognition

Optical character recognition (OCR) systems for machine-printed documents typically require large numbers of font styles and character models to work well. When given a document printed in an unseen font, the performance of those systems degrade even in the absence of noise. In this paper, we perform OCR in an unsupervised fashion without using any character models by using a cryptogram decodin...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2017