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ICDAR
2009
IEEE
15 years 4 months ago
Evaluating Retraining Rules for Semi-Supervised Learning in Neural Network Based Cursive Word Recognition
Training a system to recognize handwritten words is a task that requires a large amount of data with their correct transcription. However, the creation of such a training set, inc...
Volkmar Frinken, Horst Bunke
ICDAR
2009
IEEE
15 years 4 months ago
Learning and Adaptation for Improving Handwritten Character Recognizers
Writer independent handwriting recognition systems are limited in their accuracy, primarily due the large variations in writing styles of most characters. Samples from a single ch...
Naveen Chandra Tewari, Anoop M. Namboodiri
ICDAR
2005
IEEE
15 years 3 months ago
IAM-OnDB - an On-Line English Sentence Database Acquired from Handwritten Text on a Whiteboard
In this paper we present IAM-OnDB - a new large online handwritten sentences database. It is publicly available and consists of text acquired via an electronic interface from a wh...
Marcus Liwicki, Horst Bunke
IVC
2008
101views more  IVC 2008»
14 years 9 months ago
A system for processing handwritten bank checks automatically
In the US and many other countries, bank checks are preprinted with the account number and the check number in MICR ink and format; as such, these two numeric fields can be easily...
Rafael Palacios, Amar Gupta
ICPR
2006
IEEE
15 years 11 months ago
A Maximum-Likelihood Approach to Symbolic Indirect Correlation
Symbolic Indirect Correlation (SIC) is a nonparametric method that offers significant advantages for recognition of ordered unsegmented signals. A previously introduced formulatio...
Ashutosh Joshi, Daniel P. Lopresti, George Nagy, S...