Text Extraction and Character Recognition form Image using Mathematical Morphology and OCR Technique

نویسندگان

  • Sukhvinder Singh
  • Surender Kumar Grewal
چکیده

Images contain various types of useful information that should be extracted whenever required and this information may be in the form of text present in image. Extraction of this information involves detection, localization, extraction, enhancement and recognition of the text from the given image. Mathematical morphology is the foundation of morphological image processing, which consists of a set of operators that transform images according to the characterization. We use some fundamental morphological operations such as dilation, erosion, opening and closing for text extraction and OCR technique for character recognition from image.

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

Neural Network Approach for Character Recognition and Text Detection: A Survey

Text detection and Character recognition from the image has been one of the most interesting and challenging research areas in field of pattern recognition, artificial intelligence, machine vision and image processing in the recent years. There are basically four steps that include preprocessing, feature extraction, candidate’s selection, and desired character recognition to develop any of the ...

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

Extraction , Enhancement and OCR

In this paper we address the problem of text extraction, enhancement and recognition in digital video. Compared with optical character recognition (OCR) from document images, text extraction and recognition in digital video presents several new challenges. First, the text in video is often embedded in complex backgrounds, making text extraction and separation diicult. Second, image data contain...

متن کامل

Video OCR for Video Indexing

OCR is a technique that can greatly help to locate the topics of interest in video via the automatic extraction and reading of captions and annotations. Text in video can provide key indexing information. Recognizing such text for search application is critical. Major difficult problem for character recognition for videos is degraded and deformated characters, low resolution characters or very ...

متن کامل

The Postprocessing of Optical Character Recognition Based on Statistical Noisy Channel and Language Model

The techniques of image processing have been used in optical character recognition (OCR) for a long time. The recognition method evolved from early "pattern recognition" to "feature extraction" recently. The recognition rate is raised from 70% to 90%. But the character by character recognition technique has its limitation. Using language models to assist the OCR system in improving recognition ...

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 2014