Handwritten Character Recognition
نویسنده
چکیده
Touchpad based devices like phones and tablets are now ubiquitous and growing even more in popularity. Due to their form factors, however, otherwise standard means of input like keyboards are less effective in these devices. Infact using scribbling to recognize handwriting is a viable alternative. In this project we investigated a method of recognizing handwritten characters to allow automatic recognition of characters. We used a gaussian mixture model for modelling the feature distributions.
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 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 کاملState of The Art in Handwritten Digit Recognition
State of The Art in Handwritten Digit Recognition Pooja Agrawal Department of Computer Science, SVITS, Indore, Madhya Pradesh, INDIA Prof. Anand Rajavat Department of Computer Science, SVITS, Indore, Madhya Pradesh, INDIA RGPV/SVITS Indore Sanwer Road, Gram Baroli, Alwasa, Indore, Madhya Pradesh, INDIA ______________________________________________________________________________________ Abstra...
متن کاملIntelligent 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 کاملOptical Character Recognition Using 26-Point Feature Extraction and ANN
We present in this paper a system of English handwriting recognition based on 26-point feature extraction of the character. Basically an off-line handwritten alphabetical character recognition system using multilayer feed forward neural network has been described in our work. Firstly a new method, called, 26-point feature extraction is introduced for extracting the features of the handwritten a...
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 کامل