A Review of the Optical Character Recognition Methodology in Image Processing Techniques
نویسنده
چکیده
-This review paper deals with a review of the optical character recognition using the Matlab software. OCR or optical character recognition is the process of converting scanned images of machine-printed or handwritten text (numerals, letters, and symbols) into a computer-processable format; also known as optical character recognition (OCR). A typical OCR system contains three logical components, viz., an image scanner, OCR software and hardware, and an output interface. OCR systems can largely be grouped into two categories: task-specific readers and general-purpose page readers. A task-specific reader handles only specific document types. Such as bank checks, letter mail, or credit-card slips. General-purpose page readers are designed to handle a broader range of documents such as business letters, technical writings, and newspapers. The relevant literature presented here will be of an extensive use to many of the readers who are pursuing a research in the design & development of optical character recognition systems
منابع مشابه
Designing and implementing a system for Automatic recognition of Persian letters by Lip-reading using image processing methods
For many years, speech has been the most natural and efficient means of information exchange for human beings. With the advancement of technology and the prevalence of computer usage, the design and production of speech recognition systems have been considered by researchers. Among this, lip-reading techniques encountered with many challenges for speech recognition, that one of the challenges b...
متن کاملEvolutionary Computing Techniques in 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 OCR on hand written documents. This paper provides a comprehensive review of existing works in handwritten character recognition based on Evolutionary computing technique during the past decade. KeywordsHandwritten Character recognition...
متن کاملNeural 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 کاملA Review on Character Recognition Techniques
Character Recognition (CR) has been studied from the past several decades, and is still a demanding research topic in the field of pattern recognition and image processing. There is a large demand for Optical Character Recognition on hand written documents. Now days, the rapidly growing computational power enables the implementation of the present Character Recognition methodologies and creates...
متن کاملA Review on Character Retrieval to Support Reading Documents
Information spotting in scanned document images is a very challenging task. Character recognition has been studied from the past several decades and is still a demanding research topic in the field of pattern recognition and image processing, however their performance will be significantly impaired when the image of the character is partially blocked or smudged. Such missing information does no...
متن کامل