Proceedings Eighth International Workshop on Frontiers in Handwriting Recognition
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A learning algorithm for structured character pattern representation used in online recognition of handwritten Japanese characters
- Trang 163-168
This paper describes a prototype learning algorithm for structured character pattern representation with common sub-patterns shared among multiple character templates for online recognition of handwritten Japanese characters. Although prototype learning algorithms have been proved useful for an unstructured set of features, they have not been presented for structured or hierarchical pattern repres......
#Character recognition #Pattern recognition #Dictionaries #Handwriting recognition #Prototypes #Programmable logic arrays #Shape #Robustness #Statistical learning #Statistical distributions
A comparative study on mirror image learning and ALSM
- Trang 151-156
In this paper, the effectiveness of a corrective learning algorithm MIL (mirror image learning) is comparatively studied with that of ALSM (average learning subspace method). Both MIL and ALSM were proposed to improve the learning effectiveness of class conditional distributions. While the ALSM modifies the basis vectors of a subspace by subtracting the autocorrelation matrix for counter classes f......
#Mirrors #Laser radar #Autocorrelation #Counting circuits #Handwriting recognition #Image generation #Testing #Euclidean distance #Vectors #Covariance matrix
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
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
A new database for research on bank-check processing
- Trang 524-528
This paper presents a new database for off-line handwriting recognition. The database, that is particularly devoted to research on bank-check recognition, up to now includes instances of isolated digits and characters, basic words of worded amounts, and signatures. Pattern images are stored using a standard image format, and hence they are easily usable by several commercial and scientific image p......
#Image databases #Handwriting recognition #Image segmentation #Impedance #Standards development #Writing #Humans #NIST #Character recognition #Image processing
Transcript mapping for historic handwritten document images
- Trang 413-418
There is a large number of scanned historical documents that need to be indexed for archival and retrieval purposes. A visual word spotting scheme that would serve these purposes is a challenging task even when the transcription of the document image is available. We propose a framework for mapping each word in the transcript to the associated word image in the document. Coarse word mapping based ......
#Image segmentation #Indexing #Optical character recognition software #Venus #Dynamic programming #Heuristic algorithms #Availability #Image retrieval #Prototypes #Smoothing methods
The effect of large training set sizes on online Japanese Kanji and English cursive recognizers
- Trang 36-40
Much research in handwriting recognition has focused on how to improve recognizers with constrained training set sizes. This paper presents the results of training a nearest-neighbor based online Japanese Kanji recognizer and a neural-network based online cursive English recognizer on a wide range of training set sizes, including sizes not generally available. The experiments demonstrate that incr......
#Handwriting recognition #Character recognition #Prototypes #Training data #Writing #Neural networks #Ink #Sparse matrices #Frequency #Delay effects
Handwritten text recognition through writer adaptation
- Trang 363-368
Handwritten text recognition is a problem rarely studied out of specific applications for which lexical knowledge can constrain the vocabulary to a limited one. In the case of handwritten text recognition, additional information can be exploited to characterize the specificity of the writing. This knowledge can help the recognition system to find coherent solutions from both the lexical and the mo......
#Text recognition #Handwriting recognition #Writing #Hidden Markov models #Character recognition #Vocabulary #Shape #Image analysis #Pattern recognition #Semisupervised learning
Baseline estimation for Arabic handwritten words
- Trang 479-484
Baseline information has been used for diverse purposes in handwriting research. The baseline represents a first orientation in a word and it is often a precondition for subsequent algorithms, including preprocessing tasks, segmentation and feature extraction for recognition systems. Approaches based on the horizontal projection histogram are used for Arabic printed text but they are ill-suited fo......
#Writing #Feature extraction #Handwriting recognition #Image recognition #Skeleton #Character recognition #Communications technology #Histograms #Linear regression #Algorithm design and analysis
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