Proceedings Eighth International Workshop on Frontiers in Handwriting Recognition
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Các bài báo tiêu biểu
Confidence modeling for verification post-processing for handwriting recognition
- Trang 30-35
We apply confidence-scoring techniques to verify the output of a handwriting
recognizer. We evaluate a variety of scoring functions, including likelihood
ratios and estimated posterior probabilities of correctness, in a postprocessing
mode to generate confidence scores at the character or word level. Using the
post-processor in conjunction with an HMM-based on-line handwriting recognizer
for large...
#Handwriting recognition #Character recognition #Character generation #Hidden Markov models #Error correction #Error analysis #Costs #Automation #Humans #Vocabulary
A handwritten character recognition method based on unconstrained elastic matching and eigen-deformations
- Trang 72-77
A fast elastic matching based handwritten character recognition method is
investigated. In the method, an unconstrained elastic matching technique, where
the matching is optimized locally and individually on each pixel, is utilized
together with its a posteriori evaluation based on the eigen-deformations of
handwritten characters. Our experimental results show that high recognition
rates can be at...
#Character recognition #Pattern matching #Pattern recognition #Handwriting recognition #Information science #Optimization methods #Computational complexity #Computational efficiency #Impedance matching #Costs
A hybrid large vocabulary handwritten word recognition system using neural networks with hidden Markov models
- Trang 99-104
We present a hybrid recognition system that integrates hidden Markov models
(HMM) with neural networks (NN) in a probabilistic framework. The input data is
processed first by a lexicon-driven word recognizer based on HMMs to generate a
list of the candidate N-best-scoring word hypotheses as well as the segmentation
of such word hypotheses into characters. An NN classifier is used to generate a
sco...
#Vocabulary #Handwriting recognition #Neural networks #Hidden Markov models #Pattern recognition #Character recognition #Character generation #Image segmentation #Viterbi algorithm #Reconnaissance
Handwritten numeral string recognition using neural network classifier trained with negative data
- Trang 395-400
In this paper, we investigate the behavior of neural network classifiers with
the negative data, and develop an off-line handwritten numeral string
recognition system based on the neural network classifier that uses negative
data when estimating parameters. For numeral string recognition, it is attempted
to generate all plausible segmentation candidates by character segmentation,
which is followed...
#Handwriting recognition #Neural networks #Character recognition #Pattern classification #Pattern recognition #Electronic mail #Parameter estimation #Character generation #Vocabulary #Performance analysis
Phân tích độ ổn định trong chữ ký động viết tay Dịch bởi AI
- Trang 259-263
Bài báo này trình bày một kỹ thuật mới để đánh giá độ ổn định cục bộ trong các
chữ ký động viết tay và sử dụng kết quả để cải thiện quy trình xác thực chữ ký
tự động. Kết quả thí nghiệm chỉ ra tính hữu ích của việc tích hợp thông tin về
độ ổn định vào quy trình xác thực chữ ký.
#Stability analysis #Handwriting recognition #Impedance #Writing #Distortion measurement #Access control #Banking #Psychology #Reproducibility of results #Conferences
Impact of lexicon completeness on city name recognition
- Trang 513-518
Significant progress has been achieved in recognition of handwritten words
during the past five years. Cursive recognition is currently used in real-live
systems for applications such as check, giro, generic form, and address
processing. Common to these applications is the use of lexicon. This paper
addresses the issues of lexicon completeness and its impact on accuracy
(rejection and error rates)...
#Cities and towns #Handwriting recognition #Character recognition #Writing #Performance analysis #Statistical analysis #Error analysis #Law #Legal factors #Dynamic programming
Handwritten document retrieval
- Trang 233-238 - 2002
This paper investigates the use of both typed and handwritten queries to
retrieve handwritten documents. The recognition-based approach reported here is
novel in that it expands documents in a fashion analogous to query expansion:
Individual documents are expanded using N-best lists which embody additional
statistical information from a hidden Markov model (HMM) based handwriting
recognizer used t...
#Handwriting recognition #Databases #Information retrieval #Optical character recognition software #Redundancy #Hidden Markov models #Ink #Robustness #Degradation #Character recognition
Writer identification by writer's invariants
- Trang 274-279
This communication deals with the problem of writer identification. If the
assumption of writing individuality is true then graphical fragments that
constitute it should be individual too. Therefore we propose a morphological
grapheme based analysis to make writer identification. Template Matching is the
core of the approach. The redundancy of the individual patterns in a writing,
defined as the w...
#Writing #Testing #Handwriting recognition #Feature extraction #Fingerprint recognition #Genetics #Technical drawing #Noise reduction #Noise measurement #Conferences
Classifying isogenous fields
- Trang 41-46
Classifiers that utilize style context in co-occurring patterns increase
recognition accuracy. When patterns occur as long isogenous fields, this gain
should increase unless negated by parameter estimation errors that increase with
field length. We show that our method achieves higher accuracy with longer input
fields because it can be trained accurately We also present some ongoing work on
simple...
#Parameter estimation #Pattern recognition #Computational complexity #Laboratories #Electronic mail #Educational institutions #Writing #Instruments #NIST #Random variables
Online handwriting recognition with support vector machines - a kernel approach
- Trang 49-54
In this paper we describe a novel classification approach for online handwriting
recognition. The technique combines dynamic time warping (DTW) and support
vector machines (SVMs) by establishing a new SVM kernel. We call this kernel
Gaussian DTW (GDTW) kernel. This kernel approach has a main advantage over
common HMM techniques. It does not assume a model for the generative class
conditional densi...
#Handwriting recognition #Support vector machines #Kernel #Hidden Markov models #Support vector machine classification #Nonlinear distortion #Pattern recognition #Optical character recognition software #Bayesian methods #Data structures