Elastic Matching Techniques for Handwritten Character Recognition

Elastic Matching Techniques for Handwritten Character Recognition

Seiichi Uchida (Kyushu University, Japan)
Copyright: © 2008 |Pages: 22
DOI: 10.4018/978-1-59904-807-9.ch002
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This chapter reviews various elastic matching techniques for handwritten character recognition. Elastic matching is formulated as an optimization problem of planar matching, or pixel-to-pixel correspondence, between two character images under a certain matching model, such as affine and nonlinear. Use of elastic matching instead of rigid matching improves the robustness of recognition systems against geometric deformations in handwritten character images. In addition, the optimized matching represents the deformation of handwritten characters and thus is useful for statistical analysis of the deformation. This chapter argues the general property of elastic matching techniques and their classification by matching models and optimization strategies. It also argues various topics and future work related to elastic matching for emphasizing theoretical and practical importance of elastic matching.

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Table of Contents
Brijesh Verma, Michael Blumenstein
Brijesh Verma, Michael Blumenstein
Chapter 1
Brijesh Verma, Michael Blumenstein
Cursive handwriting recognition is a challenging task for many real-world applications such as document authentication, form processing, postal... Sample PDF
Fusion of Segmentation Strategies for Off-Line Cursive Handwriting Recognition
Chapter 2
Seiichi Uchida
This chapter reviews various elastic matching techniques for handwritten character recognition. Elastic matching is formulated as an optimization... Sample PDF
Elastic Matching Techniques for Handwritten Character Recognition
Chapter 3
Luana Batista, Dominique Rivard, Robert Sabourin, Eric Granger, Patrick Maupin
Automatic signature verification is a biometric method that can be applied in all situations where handwritten signatures are used, such as cashing... Sample PDF
State of the Art in Off-Line Signature Verification
Chapter 4
Vamsi Krishna Madasu, Brian C. Lovell
This chapter presents an off-line signature verification and forgery detection system based on fuzzy modeling. The various handwritten signature... Sample PDF
An Automatic Off-Line Signature Verification and Forgery Detection System
Chapter 5
Sergio Suárez-Guerra, Jose Luis Oropeza-Rodriguez
This chapter presents the state-of-the-art automatic speech recognition (ASR) technology, which is a very successful technology in the computer... Sample PDF
Introduction to Speech Recognition
Chapter 6
Graham Leedham, Vladimir Pervouchine, Haishan Zhong
This chapter examines features of handwriting and speech and their effectiveness at determining whether the identity of a writer or speaker can be... Sample PDF
Seeking Patterns in the Forensic Analysis of Handwriting and Speech
Chapter 7
Donggang Yu, Tuan D. Pham
This chapter describes a new pattern recognition method: pattern recognition-based morphological structure. First, smooth following and... Sample PDF
Image Pattern Recognition-Based Morphological Structure and Applications
Chapter 8
Ting Shan, Abbas Bigdeli, Brian C. Lovell, Shaokang Chen
In this chapter, we propose a pose variability compensation technique, which synthesizes realistic frontal face images from nonfrontal views. It is... Sample PDF
Robust Face Recognition Technique for a Real-Time Embedded Face Recognition System
Chapter 9
Prithwijit Guha, Amitabha Mukerjee, K. S. Venkatesh
Complex multiobject interactions result in occlusion sequences, which are a visual signature for the event. In this work, multiobject interactions... Sample PDF
Occlusion Sequence Mining for Activity Discovery from Surveillance Videos
Chapter 10
Hui-Xing Jia, Yu-Jin Zhang
Human detection is the first step for a number of applications such as smart video surveillance, driving assistance systems, and intelligent digital... Sample PDF
Human Detection in Static Images
Chapter 11
Fok Hing Chi Tivive, Abdesselam Bouzerdoum
With the ever-increasing utilization of imagery in scientific, industrial, civilian, and military applications, visual pattern recognition has been... Sample PDF
A Brain-Inspired Visual Pattern Recognition Architecture and Its Applications
Chapter 12
Mariusz Rawski, Henry Selvaraj, Bogdan J. Falkowski, Tadeusz Luba
This chapter, taking FIR filters as an example, presents the discussion on efficiency of different implementation methodologies of DSP algorithms... Sample PDF
Significance of Logic Synthesis in FPGA-Based Design of Image and Signal Processing Systems
Chapter 13
Nina Zhou, Lipo Wang
This chapter introduces an approach to class-dependent feature selection and a novel support vector machine (SVM). The relative background and... Sample PDF
A Novel Support Vector Machine with Class-Dependent Features for Biomedical Data
Chapter 14
Alistair Shilton, Marimuthu Palaniswami
This chapter presents a unified introduction to support vector machine (SVM) methods for binary classification, one-class classification, and... Sample PDF
A Unified Approach to Support Vector Machines
Chapter 15
Katti Faceli, Andre C.P.L.F. de Carvalho, Marcilio C.P. de Souto
Clustering is an important tool for data exploration. Several clustering algorithms exist, and new algorithms are frequently proposed in the... Sample PDF
Cluster Ensemble and Multi-Objective Clustering Methods
Chapter 16
Peter Duell, Xin Yao
Negative correlation learning (NCL) is a technique that attempts to create an ensemble of neural networks whose outputs are accurate but negatively... Sample PDF
Implementing Negative Correlation Learning in Evolutionary Ensembles with Suitable Speciation Techniques
Chapter 17
Toshio Tsuji, Nan Bu, Osamu Fukuda
In the field of pattern recognition, probabilistic neural networks (PNNs) have been proven as an important classifier. For pattern recognition of... Sample PDF
A Recurrent Probabilistic Neural Network for EMG Pattern Recognition
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