Unconstrained handwriting recognition applied to the processing of bank cheques
Unconstrained handwriting recognition applied to the processing of bank cheques
Large vocabulary recognition of on-line handwritten cursive words
Large vocabulary recognition of on-line handwritten cursive words
Discrete Time Processing of Speech Signals
Discrete Time Processing of Speech Signals
ICDAR '97 Proceedings of the 4th International Conference on Document Analysis and Recognition
Automatic Extraction of Items from Cheque Images for Payment Recognition
ICPR '96 Proceedings of the International Conference on Pattern Recognition (ICPR '96) Volume III-Volume 7276 - Volume 7276
A new system for reading handwritten zip codes
ICDAR '95 Proceedings of the Third International Conference on Document Analysis and Recognition (Volume 1) - Volume 1
Recognition of offline handwritten words and its extension to phrase recognition
Recognition of offline handwritten words and its extension to phrase recognition
Multiple Classifier Combination Methodologies for Different Output Levels
MCS '00 Proceedings of the First International Workshop on Multiple Classifier Systems
Classifier Combinations: Implementations and Theoretical Issues
MCS '00 Proceedings of the First International Workshop on Multiple Classifier Systems
Offline Recognition of Syntax-Constrained Cursive Handwritten Text
Proceedings of the Joint IAPR International Workshops on Advances in Pattern Recognition
A novel approach for structural feature extraction: contour vs. direction
Pattern Recognition Letters
A system for processing handwritten bank checks automatically
Image and Vision Computing
Off-line cursive script recognition: current advances, comparisons and remaining problems
Artificial Intelligence Review
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This article describes the mixed HMM-KNN word recognition module of a bank cheque processing system developed at CENPARMI. It uses a combination of 2 segmentation free word recognition schemes. The first scheme uses a set of global features associated to a modified K Nearest Neighbour classifier; while the second one uses a set of directional contour features as input to an HMM. The system has been designed to be modular and independent of specific languages as in Canada one has to deal with at least 2 languages, namely English and French. It can be easily adapted to read other European languages based on the Roman alphabet. The system is continuously tested on data from the local phone company, and we report here the results on a database of approximately 4,500 cheques.