A NEURO FUZZY BASED COIN RECOGNITION WITH COLLABORATION OF MULTI-FEATURE EXTRACTION TECHNIQUES
| Author(s) | : | Sukhwinder Kaur, Er. Harshdeep Trehan (A.P), Er. Varinderjit Kaur (HOD), Dr. Naveen Dhillon (Principal) |
| Institution | : | Computer Science Engineering, Ramgarhia Institute of Engineering and Technology, IKGPTU |
| Published In | : | Vol. 5, Issue 4 — April 2018 |
| Page No. | : | 2526-2531 |
| Domain | : | Engineering |
| Type | : | Research Paper |
| ISSN (Online) | : | 2348-4470 |
| ISSN (Print) | : | 2348-6406 |
Coin has a major role in daily life of a human as it is used in various financial organization or institutes likebanks, supermarket and vending machines etc. Along with the enhancements in the technology, most of the human worksget rely upon machines. Similarly, the coin recognition is also done by machines or software since it is mandatory torecognize the coins rather than counting coins manually. The coin recognition is done by using image preprocessingtechnique. For this purpose, various techniques have been developed by different authors. This study provides a coinrecognition system by using Gabor Wavelet, Canny Edge detection and Artificial Neuro Fuzzy Inference System (ANFIS).The Gabor-ANFIS is evaluated to be the best coin recognition mechanism than Scale Invariant Feature TransformArtificial Neural Network (SIFT-ANN) with respect to Accuracy and Error percentage.
Sukhwinder Kaur, Er. Harshdeep Trehan (A.P), Er. Varinderjit Kaur (HOD), Dr. Naveen Dhillon (Principal), “A NEURO FUZZY BASED COIN RECOGNITION WITH COLLABORATION OF MULTI-FEATURE EXTRACTION TECHNIQUES”, International Journal of Advance Engineering and Research Development (IJAERD), Vol. 5, Issue 4, pp. 2526-2531, April 2018.
