An overview of character recognition focused on off-line handwriting
Character recognition (CR) has been extensively studied in the last half century and has
progressed to a level that is sufficient to produce technology-driven applications. Now …
progressed to a level that is sufficient to produce technology-driven applications. Now …
Markov models for offline handwriting recognition: a survey
Since their first inception more than half a century ago, automatic reading systems have
evolved substantially, thereby showing impressive performance on machine-printed text …
evolved substantially, thereby showing impressive performance on machine-printed text …
Optical character recognition for cursive handwriting
A new analytic scheme, which uses a sequence of image segmentation and recognition
algorithms, is proposed for the off-line cursive handwriting recognition problem. First, some …
algorithms, is proposed for the off-line cursive handwriting recognition problem. First, some …
Lexicon and hidden Markov model-based optimisation of the recognised Sinhala script
HL Premaratne, E Järpe, J Bigun - Pattern recognition letters, 2006 - Elsevier
The Brahmi descended Sinhala script is used by 75% of the 18 million population in Sri
Lanka. To the best of our knowledge, none of the Brahmi descended scripts used by …
Lanka. To the best of our knowledge, none of the Brahmi descended scripts used by …
[PDF][PDF] A survey of methods and strategies in handwritten kannada character segmentation
M Thungamani - International Journal of Science Research, 2012 - researchgate.net
A survey on different Segmentation methods listed here for Handwritten Kannada
characters; Segmentation is an important task of any optical character recognition (OCR) …
characters; Segmentation is an important task of any optical character recognition (OCR) …
A new scheme for off-line handwritten connected digit recognition
We introduce a scheme for an off-line handwritten connected digit string recognition
problem, which uses a sequence of segmentation and recognition algorithms. The proposed …
problem, which uses a sequence of segmentation and recognition algorithms. The proposed …
[BOOK][B] Combat identification with sequential observations, rejection option, and out-of-library targets
TW Albrecht - 2005 - search.proquest.com
Combat target identification (CID) is the process by which detected objects are characterized
pursuant to military action. Errors in CID such as mis-labeling targets and non-targets carry …
pursuant to military action. Errors in CID such as mis-labeling targets and non-targets carry …
PCA based feature vector for handwritten kannada characters recognition
SK Sridharamurthy, HRS Reddy - … International Conference on …, 2015 - ieeexplore.ieee.org
An approach for selection of features using principal component analysis technique to
classify segmented (isolated) Kannada characters is presented in this paper. Artificial neural …
classify segmented (isolated) Kannada characters is presented in this paper. Artificial neural …
One dimensional representation of two dimensional information for HMM based handwritten recognition
We introduce a new set of one-dimensional discrete, constant length features to represent
two dimensional shape information for HMM (hidden Markov model), based handwritten …
two dimensional shape information for HMM (hidden Markov model), based handwritten …
Angle recognition algorithm based on discrete series data of object-boundary in polar coordinate
W Zhang, J Mei, Y Ding, T Huang - Optik, 2013 - Elsevier
In computer vision applications on automation production lines, rotary angle of an object is
often required to be calculated in the procedure of image processing. An angle recognition …
often required to be calculated in the procedure of image processing. An angle recognition …