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Dhakad et al. - Google Patents

LOW-COST REAL-TIME FACE RECOGNITION SYSTEM USING LOCAL BINARY PATTERN HISTOGRAM ALGORITHM

Dhakad et al.

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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 …
Continue reading at dogorangsangresearchjournal.com (PDF) (other versions)

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
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    • G06K9/6202—Comparing pixel values or logical combinations thereof, or feature values having positional relevance, e.g. template matching
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