Intelligent adaptive object recognition

Safa Almazmome, Li Zhang

Research output: Chapter in Book/Report/Conference proceedingChapter


This research proposes an object recognition system using image processing and neural network based classification. The system is capable of recognizing 7 objects from an uncluttered background by extracting color, texture and shape features. The proposed system consists of image segmentation, feature extraction and classification. Diverse neural network topology settings have been employed for evaluation. Experimental results indicate that the proposed system achieves high accuracy 98% accurate for real-time object recognition tasks.
Original languageEnglish
Title of host publication2016 12th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD)
Place of PublicationPiscataway
Number of pages5
ISBN (Print)978-1-5090-4094-0
Publication statusPublished - Aug 2016


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