Got a tricky question? Receive an answer from students like you! Try us!

Neural Networks for handwriting recognition - Essay Example

Only on StudentShare
Masters
Author : julietmraz
Essay
Engineering and Construction
Pages 16 (4016 words)

Summary

NEURAL NETWORKS FOR HANDWRITING RECOGNITION Name Date Table of Contents Artificial Neural Networks (ANNs) 6 Neural Network Recognizer 7 Recurrent Neural Networks  7 Long Short-Term Memory (LSTM) 8 Bidirectional Recurrent Neural Networks 9 Connectionist Temporal Classification (CTC) 9 Training the Individual Nets 10 ANNs for Handwriting Recognition 12 Types of ANN for Handwriting Recognition 13 Methods for ANN Based Handwriting Recognition 14 Bidirectional Long Short-Term Memory 14 Integration with an External Grammar 16 ANN Features Extraction 17 Future Direction 17 Conclusion 18 References 19 Executive Summary In the past few years, with the increasing use of information technology based sy…

Extract of sample
Neural Networks for handwriting recognition

In fact, a large number of researches have forecasted that in future billions of mobile and wireless systems will integrate handwriting recognition facilities. However, it is straightforward and uncomplicated to recognize handwriting when it appears in the form of isolated handwritten symbols as compared to un-segmented linked handwriting (with unidentified initial stages and ends of particular letters). Though, whatever the case is, we need excellent and high speed algorithmic capabilities (Ciresan et al., 2012; Schmidhuber, 2010). In addition, there are many scenarios where conventional techniques of computer vision and digital machine learning are not able to replace human capabilities, for example identification of traffic signs and handwritten digits. ...
Download paper

Related Essays

Investigation of Process Parameter Optimization of High Speed CNC Milling for Composite Materials using Combined Genetic Algorit
Machinability in terms of quality and productivity is of great concern in a competitive market. CNC milling performance is evaluated in terms of surface roughness, material removal rate, taper and facing. CNC machining is done initially in a number of passes an final end milling is done in a single pass. The most common machining parameters are cutting speed, feed, depth of cut. To have a balance between productivity and quality, the machining parameters need to be optimised. …
7 pages (1757 words)
Climate change and hydraulic impacts on water networks supply.
13 3. Conclusion 14 References 15 1. Introduction One of the most important characteristics of last decade is the increase of extreme climate phenomena worldwide. These phenomena have been related to significant climate change, compared to the past. The research that has been developed in this field has led to the assumption that climate change has been resulted mostly due to the following three reasons: ‘a) the changes in solar’s radiation, b) the changes in the structure of atmosphere and c) the changes in the earth’s surface’ (Ahrens 2007, p.438). Certain events, such as ‘the…
8 pages (2008 words)
iris recognition system using principal component analysis
This gives a fine demarcation between the inter class and intra class irises and hence the recognition becomes easier. Principal component analysis has been used to reduce the dimensionality. This enables choice of appropriate features from the iris templates and improves classification. The iris recognition accuracy has been described in terms of False Reject Ratio and False Accept Ratio. Table of contents Chapter 1 – Introduction of Project 1.1. Introduction 1.2. Project background 1.3. Problem Statement 1.4. Project aim and objectives 1.5. Significance of the project 1.6. Scope of project…
60 pages (15060 words)
condition monitoring, fault diagnosis, fault classification or fiding fault for machenary
In recent years, there has been a growing trend to introduce more intelligent methods in order to deal with condition monitoring and fault classification for machines (Mills, 2010). The realm of artificial intelligence and its application may be infant as yet but still involves the application of various methods and techniques for achieving desired ends. The current research will look into various artificial intelligence methods that have been applied to the condition monitoring and fault diagnosis for a reciprocating air compressor based on emerging and already developed methods and…
25 pages (6275 words)
Using accelerometer and EMG signals to estimate arm motion
Using accelerometer and EMG signals to estimate arm motion …
7 pages (1757 words)
Fault Detection and Diagnosis using Principal Component Analysis of Vibration Data from a Reciprocating Compressor
PCA has been employed with genetic algorithms (GA) in order to reduce data dimensionality for use in fault diagnosis of induction motors. PCA was employed to remove relative features, after which GA was employed to select the irrelative features and to optimise the ANN (Yang, Han and Yin, 2006). Fault detection and diagnosis of plant subsystems have also been attempted using PCA. Normal plant operation decomposed through PCA was compared to faulty operation data through PCA decomposition to create thresholds for taking corrective actions. Real time monitoring of plant operation data was…
5 pages (1255 words)
Condition monitoring - fault detection and diagnosis
The use of condition monitoring can be seen as a development from preventive maintenance, which itself developed from break down maintenance. Modern process requirements demand greater availability and reliability of machines which can only be provided through accurate monitoring of machine health. This allows maintenance personnel to determine the best possible course of action based on knowledge available from condition monitoring (Mahamad, 2010). Condition monitoring has found greater favour in maintenance circles based on savings and system simplification provided by it. Not only does…
4 pages (1004 words)