Work

Symbolic Representation of Edge Let Features Forfacerecognition: a Novel Approach

Year: 2017

Type: article

Abstract: This paper presents a new approach aimed to design a symbolic face recognition system. Edge let features forface recognition are proposed in the paper, are incorporated in the feature vector used to design the patternrecognition system. Edge let feature lines are considered as new features based on previous studies relatedtoface recognition tasks. An identification scheme of the objects based on the proposed representation model andfeatures extraction is designed. The performance of the proposed face recognition system turns out to be 92%of correct classification tested on the ORL and Yale databases.

Source: International Journal of Engineering Researches and Management Studies

Authors: Yogish Naik, Prabhakar C. J.

Institution: Kuvempu University

Language: English

Topic: Face and Expression Recognition

Subfield: Computer Vision and Pattern Recognition

Field: Computer Science

Domain: Physical Sciences

Open Access status: bronze

OpenAlex ID: W7220559727

FWCI:

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