Preprocessing Techniques in Character Recognition

Alginahi, Yasser M.

doi:10.5772/9776

Cited by 53 publications

(29 citation statements)

References 19 publications

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“…As such, there is need for an additional process known as pre-processing to normalize the skeleton images. Generally, the pre-processing stage could enhance the recognition performance in the pattern recognition stage [19]. However, to date, only [15,20] have carried out the pre-processing stage in the recognition of human gait…”

Section: Related Workmentioning

confidence: 99%

Recognition of human gait in oblique and frontal views using Kinect

Sahak¹,

Yassin²,

Tahir³

et al. 2018

J. Fundam and Appl Sci.

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This study describes the recognition of human gait in the oblique and frontal views using novel gait features derived from the skeleton joints provided by Kinect. In D skeleton joints were extracted directly from the Kinect, which generates the the other hand, H-joint distance is a feature of distance between the hip joint with other skeleton joints. Prior to the gait feature extraction, the skeleton joints provided by Kinect were pre-processed in order to standardize the size of gait feature within a full gait cycle. To classify gait patterns according to its own group, a multi-layer perceptron was employed in the pattern recognition stage. Results show that a perfect recognition of human gait (100%) was attained for the frontal view using the feature of H-joint distance at the optimal multi

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Section: Related Workmentioning

confidence: 99%

Recognition of human gait in oblique and frontal views using Kinect

Sahak¹,

Yassin²,

Tahir³

et al. 2018

J. Fundam and Appl Sci.

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show abstract

“…It uses the number of strokes used to complete a symbol and their spatial relations 1 . Besides, we have provided the dataset publicly available for research purpose.…”

Section: Discussionmentioning

confidence: 99%

“…Different systems use a variety of different pre-processing techniques before feature extraction [1,6,44]. The techniques used in one system may not exactly fit into the other because of different writing styles and nature of the scripts.…”

Section: Preprocessingmentioning

confidence: 99%

Stroke-Based Cursive Character Recognition

Santosh¹,

Iwata²

2012

Advances in Character Recognition

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“…under varying different lighting conditions, for instance. It mainly considers stroke synthesis, thresholding, gray-scale to binary conversion; noise removal, foreground textual information extraction by removing background [1]. However, this introduces many adhoc techniques.…”

Section: A Pre-processingmentioning

confidence: 99%

Character Recognition Based on DTW-Radon

Santosh

2011

2011 International Conference on Document Analysis and Recognition

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Preprocessing Techniques in Character Recognition

Cited by 53 publications

References 19 publications

Recognition of human gait in oblique and frontal views using Kinect

Recognition of human gait in oblique and frontal views using Kinect

Stroke-Based Cursive Character Recognition

Character Recognition Based on DTW-Radon

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