Segmentation Methods for Hand Written Character Recognition
نویسندگان
چکیده
Hand written Character Recognition is area of research since many years. Automation of existing manual system is need of most industries as well as government areas. Recognition of hand written characters is a demand for many fields. In this paper we have discussed our approach for hand written character segmentation. This paper discusses various methodologies to segment a text based image at various levels of segmentation. This paper serves as a guide for people working on the text based image segmentation area of Computer Vision. First, the need for segmentation is justified in the context of text based information retrieval. Then, the various factors affecting the segmentation process are discussed. Followed by the levels of text segmentation are explored. Also, the available techniques with their advantages and weaknesses are reviewed, along with directions for quick referral are suggested. At last, we have given our approach to text segmentation in brief.
منابع مشابه
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 کاملStudy and Analysis for Development of an Efficient OCR for Printed and Handwritten ODIA Documents: A Survey
The OCR (optical character recognition) is the process of translating the hand written or printed text into a format that is understood by the machine for the purpose of editing, searching and indexing. Preprocessing, segmentation, features extraction, classification and post processing are the main phases of any OCR system and these specific fields are in use today. For all these tasks the seg...
متن کاملThreshold Approach to Handwriting Extraction in Degraded Historical Document Images
Handwriting extraction is the skill of a system to get and translate comprehensible hand written input via sources such as document, photos, tough screen and other devices. The picture of the written document is used to detect written text by the use of optical scanning i.e. known as optical character recognition. Handwriting extraction basically uses optical character recognition. Conversely, ...
متن کاملA Survey on Handwritten Character Recognition
Handwritten character recognition has been one of the active and challenging areas of research in the field of image processing and pattern recognition. It has number of applications which include, reading aid for blind, and conversion of any hand written document into structural text form. In this paper we present a brief survey of various methods which recognizes of English alphabet in a give...
متن کاملHandwritten Character Recognition using Modified Gradient Descent Technique of Neural Networks and Representation of Conjugate Descent for Training Patterns
The purpose of this study is to analyze the performance of Back propagation algorithm with changing training patterns and the second momentum term in feed forward neural networks. This analysis is conducted on 250 different words of three small letters from the English alphabet. These words are presented to two vertical segmentation programs which are designed in MATLAB and based on portions (1...
متن کامل