Dhakad et al. - Google Patents
LOW-COST REAL-TIME FACE RECOGNITION SYSTEM USING LOCAL BINARY PATTERN HISTOGRAM ALGORITHMDhakad et al.
View PDF- Document ID
- 8586918707369135253
- Author
- Dhakad S
- Selvamani I
- Rani K
- Tabitha K
- Poojitha P
- Sathvika P
External Links
Snippet
This research presents a novel method for real-time face recognition, one that is sensitive to variations in pose, expression, and even picture size (as little as 15 pixels). Both LRD200 and LRD100, two of our datasets, have been used in training and classification efforts. After …
- 238000004422 calculation algorithm 0 title abstract description 18
Classifications
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- G06K9/00221—Acquiring or recognising human faces, facial parts, facial sketches, facial expressions
- G06K9/00268—Feature extraction; Face representation
- G06K9/00281—Local features and components; Facial parts ; Occluding parts, e.g. glasses; Geometrical relationships
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- G06K9/62—Methods or arrangements for recognition using electronic means
- G06K9/6201—Matching; Proximity measures
- G06K9/6202—Comparing pixel values or logical combinations thereof, or feature values having positional relevance, e.g. template matching
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- G—PHYSICS
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- G06K9/00248—Detection; Localisation; Normalisation using facial parts and geometric relationships
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