Nasien et al., 2018 - Google Patents
New feature vector from freeman chain code for handwritten roman character recognitionNasien et al., 2018
View PDF- Document ID
- 1544340488776779760
- Author
- Nasien D
- Yulianti D
- Omar F
- Adiya M
- Desnelita Y
- Chandra T
- Publication year
- Publication venue
- 2018 2nd International Conference on Electrical Engineering and Informatics (ICon EEI)
External Links
Snippet
This paper proposes features that are extracted solely from Freeman Chain Code (FCC) for handwritten character recognition purpose. Targeting alphanumeric Roman characters, its structure constructed from the chain code is disassembled into segments and landmarks …
- 230000001537 neural 0 abstract description 4
Classifications
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- G06K9/00—Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
- G06K9/62—Methods or arrangements for recognition using electronic means
- G06K9/6267—Classification techniques
- G06K9/6268—Classification techniques relating to the classification paradigm, e.g. parametric or non-parametric approaches
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- G06K9/62—Methods or arrangements for recognition using electronic means
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- G06K9/6202—Comparing pixel values or logical combinations thereof, or feature values having positional relevance, e.g. template matching
- G06K9/6203—Shifting or otherwise transforming the patterns to accommodate for positional errors
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- G06K9/6217—Design or setup of recognition systems and techniques; Extraction of features in feature space; Clustering techniques; Blind source separation
- G06K9/6232—Extracting features by transforming the feature space, e.g. multidimensional scaling; Mappings, e.g. subspace methods
- G06K9/6247—Extracting features by transforming the feature space, e.g. multidimensional scaling; Mappings, e.g. subspace methods based on an approximation criterion, e.g. principal component analysis
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- G06K9/68—Methods or arrangements for recognition using electronic means using sequential comparisons of the image signals with a plurality of references in which the sequence of the image signals or the references is relevant, e.g. addressable memory
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- G06K9/4604—Detecting partial patterns, e.g. edges or contours, or configurations, e.g. loops, corners, strokes, intersections
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