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Face sketch recognition using sketching with words

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Abstract

The face sketch of the criminal may be one of the crucial evidence in catching the criminal. Face sketch is drawn by the sketch expert on the basis of onlooker’s statement, which is about different human face parts like forehead, eyes, nose, and chin etc. These statements are full of uncertainties e.g. ‘His eyes were not fairly small’. Since the precise interpretation of these natural language statements is a very difficult task. So we need a system that can convert imprecise face description, into a complete face. Therefore we have applied the sketching with words (SWW) technique to design a system that can simulate a face sketch expert. SWW is a methodology in which the objects of computation are fuzzy geometric objects e.g. fuzzy line, fuzzy circle, fuzzy triangle, and fuzzy parallel. These fuzzy objects (f-objects) are formalized by fuzzy geometry (f-geometry) of Zadeh. SWW is inspired by computing with words and fuzzy geometry. Since the onlooker has to granulate face into granule label. Hence the concept of fuzzy granule has applied for face recognition. Different types of face have generated after applying ‘fairly’ and ‘very’ linguistic hedges on face components.

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Authors and Affiliations

  1. Department of Computer Engineering, Faculty of Engineering and Technology, Jamia Millia Islamia, New Delhi, India

    Abdul Rahman & M. M. Sufyan Beg

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  1. Abdul Rahman
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  2. M. M. Sufyan Beg
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Correspondence to Abdul Rahman.

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Rahman, A., Beg, M.M.S. Face sketch recognition using sketching with words. Int. J. Mach. Learn. & Cyber. 6, 597–605 (2015). https://doi.org/10.1007/s13042-014-0256-y

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  • DOI: https://doi.org/10.1007/s13042-014-0256-y

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