Proceedings Eighth International Workshop on Frontiers in Handwriting Recognition
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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
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
Incorporating contextual character geometry in word recognition
- Trang 123-127
Contextual character geometry is the geometric information available only when a character presents in the context of a word. Such information includes the character's location and relative size in the entire word image, forming a bounding box of the character. The differences between the geometry of an image segment and the expected geometry of a candidate character are considered as additional f......
#Character recognition #Image segmentation #Image recognition #Handwriting recognition #Information geometry #Dynamic programming #Venus #Smoothing methods #Character generation #Conferences
Slant correction of handwritten strings based on structural properties of Korean characters
- Trang 467-472
A slant correction method for handwritten Korean strings based on analysis of stroke distribution, which reflects structural properties of Korean characters, is presented in this paper. The method aims to deal with typical problems which have been frequently observed in slant correction of handwritten Korean strings with conventional approaches developed for English/European languages. Extracted s......
#Natural languages #Handwriting recognition #Frequency #Electrical capacitance tomography #Electronic switching systems #Conferences #Statistical analysis
An algorithm for online strokes verification of Chinese characters using discrete features
- Trang 339-344
Existing Chinese educational software tools teach the students at the primary or kindergarten levels the stroke movements and stroke order of each Chinese character by animating the individual strokes of the whole character, one stroke at a time. In this paper the author presents an algorithm which allows the student to hand-write a specified character online through the computer, and which checks......
#Writing #Computer errors #Testing #Feedback #Character recognition #Software tools #Animation #Software prototyping #Algorithm design and analysis #Software performance
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
Affine alignment for stroke classification
- Trang 381-386
We propose a stroke classification method based on affine alignment, appropriate for online recognition of mathematical handwriting. The method, essentially linear is simple and computationally efficient. The modeling limitations of the affine group are overcome by choosing adequate error functions and by performing alignment with respect to interpolated prototypes. So, moderate nonlinear transfor......
#Shape #Prototypes #Handwriting recognition #Data preprocessing #Explosions #Robustness #Spatial databases #Interactive systems #Smoothing methods #Conferences
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