A Novel Logo-Based Document Retrieval Using Hybrid Fuzzy Based CSA
Raveendra K1, T. Karthikeyan2, Vinothkanna Rajendran3, PVN Reddy4

1Raveendra K, Research Scholar, Department of ECE, Koneru Lakshmaiah Educational Foundation, Vaddeswaram, Guntur (Andhra Pradesh), India.
2Dr. T.Karthikeyan, Associate Professor, Department of ECE, Koneru Lakshmaiah Educational Foundation, Vaddeswaram, Guntur (Andhra Pradesh), India.
3Dr. R.Vinothkanna, Professor, Department of ECE, Vivekanandha College of Engineering for Women, Tiruchengode, Namakkal (Tamil Nadu), India.
4Dr. PVN Reddy, Professor & Principal, S V College of Engineering, YSR Kadapa (Andhra Pradesh), India.
Manuscript received on 07 March 2019 | Revised Manuscript received on 20 March 2019 | Manuscript published on 30 March 2019 | PP: 255-258 | Volume-8 Issue-5, March 2019 | Retrieval Number: E2995038519/19©BEIESP
Open Access | Ethics and Policies | Cite | Mendeley | Indexing and Abstracting
© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: Logo based document analysis plays an important role in many organizations for collecting information from massive number of administrative documents so that it can be summarized easily. Many researches are going on for improving the excellence of system, but the issues increase as the logos are similar to each other with minor differences. Conventional methods would not suitable for such complex process of identifying exact match so optimized models plays a vital role in this process. Cuckoo search algorithm is used in many cluster-based applications and it provides better convergence results than other optimization models. This proposed research model uses hybrid cuckoo search algorithm using global search procedure for enhancing its performance in analysing the logo-based document retrieval from the data set and proves its effectiveness in terms of fitness function and classification accuracy.
Keyword: Hybrid Cuckoo Search Algorithm (Hcsa), Global Search, Deep Learning Neural Networks (Dlnn), Ant Colony Metaheuristic, Ant Colony Optimization (Aco).
Scope of the Article: Information Retrieval