Mass-Spring-Damper Model for Offline Handwritten Character Distortion Analysis
نویسندگان
چکیده
منابع مشابه
A Technique for Offline Handwritten Character Recognition
Offline handwritten character recognition has been one of the most engrossing and challenging research areas in the field of pattern recognition in the recent years. Offline handwritten character recognition is a very problematic research area because writing styles may vary from one user to another. In this paper a proposed technique for offline handwritten Gurmukhi character recognition has b...
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The research on offline handwritten Arabic character recognition has received more and more attention in recent years, because of the increasing needs of Arabic document digitization. The variation in Arabic handwriting brings great difficulty in character segmentation and recognition, eg., the subparts (diacritics) of the Arabic character may shift away from the main part. In this paper, a new...
متن کاملOffline Handwritten Character Recognition using Neural Network
The offline character recognition is very useful software in the field of research. Authoritative field of research has made by character recognition due to its need in various fields of research as in banks, post offices to fulfill all recognition requirements. This paper is an exploration on the different scripts including Mathematical digits, Hindi consonants and vowels, Gurumukhi characters...
متن کاملOffline Handwritten Character Recognition Using Neural Network
This paper is aimed at recognition of offline handwritten characters in a given scanned text document with the help of neural networks. Image preprocessing, segmentation and feature extraction are various phases involved in character recognition. The first step is image acquisition followed by noise filtering, smoothing and image normalization of scanned image. Segmentation decomposes image int...
متن کاملSVM Based Offline Handwritten Gurmukhi Character Recognition
Support Vector Machines (SVMs) have successfully been used in recognizing printed characters. In the present work, we have used this classification technique to recognize handwritten characters. Recognition of handwritten characters is a difficult task owing to various writing styles of individuals. A scheme for offline handwritten Gurmukhi character recognition based on SVMs is presented in th...
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ژورنال
عنوان ژورنال: Journal of Korea Multimedia Society
سال: 2011
ISSN: 1229-7771
DOI: 10.9717/kmms.2011.14.5.642