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» Co-training for Handwritten Word Recognition
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PAMI
2002
143views more  PAMI 2002»
13 years 7 months ago
Lexicon-Driven Segmentation and Recognition of Handwritten Character Strings for Japanese Address Reading
This paper describes a handwritten character string recognition system for Japanese mail address reading on very large vocabulary. The address phrases are recognized as a whole bec...
Cheng-Lin Liu, Masashi Koga, Hiromichi Fujisawa
PR
2007
165views more  PR 2007»
13 years 7 months ago
A trainable feature extractor for handwritten digit recognition
This article focusses on the problems of feature extraction and the recognition of handwritten digits. A trainable feature extractor based on the LeNet5 convolutional neural netwo...
Fabien Lauer, Ching Y. Suen, Gérard Bloch
ICDAR
2003
IEEE
14 years 1 months ago
Optimizing Binary Feature Vector Similarity Measure using Genetic Algorithm and Handwritten Character Recognition
Classifying an unknown input is a fundamental problem in pattern recognition. A common method is to define a distance metric between patterns and find the most similar pattern i...
Sung-Hyuk Cha, Charles C. Tappert, Sargur N. Sriha...
DAS
2006
Springer
13 years 11 months ago
Aligning Transcripts to Automatically Segmented Handwritten Manuscripts
Abstract. Training and evaluation of techniques for handwriting recognition and retrieval is a challenge given that it is difficult to create large ground-truthed datasets. This is...
Jamie L. Rothfeder, R. Manmatha, Toni M. Rath
AVI
2004
13 years 9 months ago
Smooth Morphing of Handwritten Text
There are several approaches for pen-based systems to improve legibility of handwritten text, e.g. smoothing the strokes composing the characters and words. A very challenging sol...
Conrad Pomm, Sven Werlen