Proceedings Eighth International Workshop on Frontiers in Handwriting Recognition
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Các bài báo tiêu biểu
Multidimensional multistage k-NN classifiers for handwritten digit recognition
- Trang 19-23
This paper analyses the application of multistage classifiers based on the k-NN
rule to the automatic classification of handwritten digits. The discriminating
capacity of a k-NN classifier increases as the size and dimensionality of the
reference pattern set (RPS) increases. This supposes a problem for k-NN
classifiers in real applications: the high computational cost required. In order
to acceler...
#Multidimensional systems #Handwriting recognition #Computational efficiency #Acceleration #Testing #NIST #Image databases #Spatial databases #Computer architecture #Computer science
Đánh giá các tập đặc trưng cho nhận diện từ viết tay Dịch bởi AI
- Trang 446-450
Bài báo này trình bày một hệ thống cơ bản được sử dụng để đánh giá các tập đặc
trưng cho việc nhận diện từ. Mục tiêu chính là xác định một tập đặc trưng tối ưu
để đại diện cho các tên được viết tay cho các tháng trong năm bằng tiếng Bồ Đào
Nha Brazil. Ba loại đặc trưng đã được đánh giá: đặc trưng cảm nhận, đặc trưng
hướng và đặc trưng hình thái. Đánh giá cho thấy, khi được xem xét riêng lẻ, tập
đặ...
#Nhận diện chữ viết tay #Cơ sở dữ liệu hình ảnh #Trích xuất đặc trưng #Con người #Nhận diện giọng nói #Hiệu suất hệ thống #Hình dạng #Lọc #Hội nghị #Viết
Combination of local and global vision modelling for Arabic handwritten words recognition
- Trang 128-135
We propose an Arabic handwritten word recognition system based on the idea of
the PERCEPTRO system developed by Cote (Cote et al. (1998)) for Latin word
recognition. It is a specific neural network, named transparent neural network,
combining a global and a local vision modeling (GVM-LVM) of the word. In the
forward propagation movement, the former (GVM) proposes a list of structural
features char...
#Handwriting recognition #Neural networks #Humans #Shape #Robustness #Feature extraction #Laboratories #Signal processing #Office automation #Banking
Linguistic integration information in the AABATAS Arabic text analysis system
- Trang 389-394
An Arabic text analysis system called AABATAS (affixal approach-based Arabic
text analysis system) is proposed. AABATAS recognizes and categorizes the words
while identifying their morphological and grammatical characteristics. It is
based on a new approach for Arabic word recognition called affixal approach.
This affixal approach is guided by the structural properties of language. A
dynamic decom...
#Text analysis #Text recognition #Character recognition #Writing #Vocabulary #Laboratories #Machine intelligence #Optical character recognition software #Optical sensors #Databases
Proceedings Eighth International Workshop on Frontiers in Handwriting Recognition [front matter]
- 2002
Conference proceedings front matter may contain various advertisements, welcome
messages, committee or program information, and other miscellaneous conference
information. This may in some cases also include the cover art, table of
contents, copyright statements, title-page or half title-pages, blank pages,
venue maps or other general information relating to the conference that was part
of the ori...
Ink texture analysis for writer identification
- Trang 268-273 - 2002
This paper presents an approach for ink type recognition. Ink type classes will
be derived from the physical properties of ink. Ink specific trace morphologies
are considered as textures. From these discriminant texture features of the
co-occurrence matrix will be derived. The proposed method for automated ink type
recognition was tested using 62 different kinds of pens and refills. The
achieved r...
#Ink #Writing #Forensics #Handwriting recognition #Morphology #Image processing #Humans #Production systems #Automatic testing #Forgery
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
Separating text and background in degraded document images - a comparison of global thresholding techniques for multi-stage thresholding
- Trang 244-249
Before any processing of the textual content of a document image can be
performed the text must be separated from the background of the image. Several
thresholding algorithms have previously been proposed and are widely used in
document processing. None have been shown effective at thresholding difficult
documents where the background and foreground are non-uniform. In this paper we
investigate th...
#Degradation #Pixel #Entropy #Writing #Venus #Text analysis #Image analysis #Performance analysis #Image recognition #Text recognition
Comparing on-line recognition of Japanese and western script in preparation for recognizing multi-language documents
- Trang 84-89
Recognizers supporting multiple languages and writing systems are becoming
increasingly important due to the international success of pen-based systems.
The main intention of the paper is to improve our understanding of the
differences and similarities between Japanese and western handwriting
recognition. Knowing the common techniques is important for developing compact
and powerful multi-language...
#Writing #Handwriting recognition #Character recognition #Natural languages #Hardware #Computer science #Laboratories #Engines #Noise reduction #Working environment noise
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