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IJSTR >> Volume 9 - Issue 1, January 2020 Edition



International Journal of Scientific & Technology Research  
International Journal of Scientific & Technology Research

Website: http://www.ijstr.org

ISSN 2277-8616



Composite Sketch Based Face Recognition Using ANN Classification

[Full Text]

 

AUTHOR(S)

Shivaleela Patil, Dr.Shibhangi D C

 

KEYWORDS

Forensic Sketch, Composite Sketch, Facial Components, Geometrical Model, Multi-Scale Local Binary Patterns (MLBP), Tchebichef Moment Invariant feature and ANN Classifier.

 

ABSTRACT

Today Computer based Technologies have been boosted much procedure and process involved in preparations of crime view documents. In this view point, photography is the first step and important clue to start or to solve investigation of crime, helps in tracing and matching the facial composites against database related to the memory of eyewitness. The facial composites i.e., sketches drawn by the artists or software aids the law enforcement using the description given by the witness in direct to depict the suspects and missing persons, which are posted on public places and helps in recognizing. These methods are found to be useful and many criminals have been recognized through this way. Since the combined sketches provide better and accurate and 80% of law enforcement insists for composite sketches rather than forensic sketch. Therefore in this proposed system, we are focusing on composite sketch based face recognition. First detect the face section using AdaBoost algorithm and detect the facial mechanism using the geometrical model of the face. Features are removed from each individual facial parts by using multi-scale local binary patterns (MLBP) and Tchebichef moment invariant feature. Finally, the ANN classifier is trained to identify the person classified.

 

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