Proceedings Eighth International Workshop on Frontiers in Handwriting Recognition
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Integrated segmentation and recognition of handwritten numerals: comparison of classification algorithms
- Trang 303-308
In integrated segmentation and recognition (ISR) of handwritten character strings, the underlying classifier is desired to be accurate in character classification and resistant to non-character patterns (also called garbage or outliers). This paper compares the performance of a number of statistical and neural classifiers in ISR. Each classifier has some variations depending on learning method: ma......
#Handwriting recognition #Chromium #Conferences #Image segmentation
MOrpho-LEXical analysis for correcting OCR-generated Arabic words (MOLEX)
- Trang 461-466
In this paper we present a contextual-based method for correcting Arabic words generated by OCR systems. This technique operates as a post-processor and it wants to be universal. It corrects substitution and rejection errors. The Arabic language properties are very useful in morpho-lexical analysis and therefore they are strongly exploited in the development of the method. The substitution errors,......
#Optical character recognition software #Dictionaries #Error correction #Hidden Markov models #Speech recognition #Production systems #Knowledge based systems #Natural language processing #Acoustics #Heart
Signature verification: benefits of multiple tries
- Trang 424-427
This method describes the advantages of a signature verification or any other biometric methodology having multiple tries. Traditional verification techniques acquire a test sample and compare with a model and a decision is made as to whether the test sample is genuine or a forgery. While it is clear that allowing a second try will reduce the false rejects, it will also increase the false accepts.......
#Handwriting recognition #Hidden Markov models #Testing #Biometrics #Forgery #Shape #Power system modeling #Application software #Humans #Automatic control
Off-line handwritten Arabic character segmentation algorithm: ACSA
- Trang 452-457
Character segmentation is a necessary preprocessing step for character recognition in many OCR systems. It is an important step because incorrectly segmented characters are unlikely to be recognized correctly. The most difficult case in character segmentation is the cursive script. The scripted nature of Arabic written language poses some high challenges for automatic character segmentation and re......
#Character recognition #Handwriting recognition #Image segmentation #Optical character recognition software #Feature extraction #Natural languages #Computer vision #Graphics #Lattices #Conferences
Hidden loop recovery for handwriting recognition
- Trang 375-380
One significant challenge in the recognition of off-line handwriting is in the interpretation of loop structures. Although this information is readily available in online representation, close proximity of strokes often merges their centers making them difficult to identify. In this paper a novel approach to the recovery of hidden loops in off-line scanned document images is presented. The propose......
#Handwriting recognition #Computer science #Writing #Educational institutions #Cities and towns #Distance measurement #Shape measurement #Character recognition #Topology #Signal to noise ratio
Confident assessment of children's handwritten responses
- Trang 508-512
This paper introduces a novel approach for the automatic assessment of children's responses to standardised English exam questions. The constrained nature of the question and answer medium is exploited to produce an automatic assessment mechanism that is both highly accurate and produces a reasonable level of response yield. It is shown that the novel approach can achieve 100% scoring accuracy on ......
#Iris #Error analysis #Automatic testing #Aging #Publishing #Conferences #Handwriting recognition #Maintenance #Shape #Writing
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
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
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
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