Effects of Character Recognition with Shell Histogram Method Using Plate Characters

INCETAS, MÜRSEL OZAN; Dikici, Sedat; Uzun Arslan, Rukiye

Effects of Character Recognition with Shell Histogram Method Using Plate Characters

Rukiye UZUN ARSLAN, (Bülent Ecevit Üniversitesi, Mühendislik Fakültesi, Elektrik-Elektronik Mühendisliği Bölümü, Zonguldak, Türkiye)

Sedat DİKİCİ, (Bülent Ecevit Üniversitesi, Mühendislik Fakültesi, Elektrik-Elektronik Mühendisliği Bölümü, Zonguldak, Türkiye)

Mürsel Ozan İNCETAŞ (Alanya Alaaddin Keykubat Üniversitesi, Alanya Ticaret Ve Sanayi Odası, Meslek Yüksekokulu, Elektrik ve Enerji Bölümü, Antalya, Türkiye)

Politeknik Dergisi

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Yıl: 2019 Cilt: 22 Sayı: 4 Sayfa Aralığı: 1093 - 1099 Metin Dili: İngilizce İndeks Tarihi: 18-12-2019

Effects of Character Recognition with Shell Histogram Method Using Plate Characters

Öz:

Character recognition is a study that has been used in various fields for many years. In character recognition, the aim is to identify the various texts, letters and symbols in the images as accurately and quickly as possible. In addition to the Optical Character Recognition (OCT) method, which is used as a very common method, there are many feature extraction methods in which character image features are compared. In this study, which is presented as another feature extraction method, the letters on the license plates are recognized. The characters were examined using the circular shape histogram technique and histograms were obtained from the sectors within the circular regions. Feature vectors for letter characters were created using character pixel densities in sectors. Feature vectors are analyzed linearly and an alternative quick character recognition method is presented. With the proposed method, the element numbers of the feature vectors are kept constant. In this way, both the processing speed is increased and the processing speed variations are minimized. The results show that the proposed method requires lesser parameters than the OCT method, but also has a significant success rate according to known feature extraction methods.

Anahtar Kelime:

Konular: Mühendislik, Elektrik ve Elektronik Bilgisayar Bilimleri, Yazılım Mühendisliği Mühendislik, Makine Mühendislik, Jeoloji Bilgisayar Bilimleri, Bilgi Sistemleri Bilgisayar Bilimleri, Donanım ve Mimari Mühendislik, Kimya

Belge Türü: Makale Makale Türü: Araştırma Makalesi Erişim Türü: Erişime Açık

[1] Coşkun A., Horat B., “Mobile electronic system integration placement optimization within Ankara by using genetic algorithms”, Scientific Research and Essays, 9(16): 716- 721, (2014).
[2] Coşkun A., Ülker Ü., “Development of A Cryptographic Algorithm for National Information Security and Determination of Confidence Against Letter Frequency Analysis”, International Journal of Informatics Technologies, 6(2): 31-39, (2013).
[3] Chang S. L., Chen L. S., Chung, Y. C., Chen, S. W., “Automatic license plate recognition”, IEEE Transactions on Intelligent Transportation Systems, 5(1): 42-53, (2004).
[4] Yang C. S., Yang Y. H., “Improved Local binary pattern for real scene optical character recognition”, Pattern Recognition Letters, 100: 14-21, (2017).
[5] Shapiro V., Gluhchev G., Dimov D., “Towards a multinational car license plate recognition system”, Machine Vision and Applications, 17(3): 173-183, (2006).
[6] Tarigan J., Diedan R., Suryana Y., “Plate Recognition Using Backpropagation Neural Network and Genetic Algorithm”, Procedia Computer Science, 116: 365-372, (2017).
[7] Singla S. K., Yadav R. K., “Optical character recognition based speech synthesis system using LabVIEW”, Journal of Applied Research and Technology, 12(5): 919-926, (2014).
[8] Phangtriastu M. R., Harefa J., Tanoto D. F., “Comparison between neural network and support vector machine in optical character recognition”, Procedia Computer Science, 116: 351-357, (2017).
[9] Kim D. S., Chien S. I., “Automatic car license plate extraction using modified generalized symmetry transform and image warping”, 2001 IEEE International Symposium on Industrial Electronics Proceedings, 12- 16 June, Pusan, 2022-2027, (2001).
[10] Amit Y., Geman D., Fan X., “A coarse-to-fine strategy for multiclass shape detection”, IEEE Transactions on Pattern Analysis & Machine Intelligence, 12, 1606- 1621, (2004).
[11] Coşkun A., Bostanci Ü., “Evaluation of the most preferred operating systems on computers in terms of vulnerabilities”, International Journal of Human Sciences, 13(3): 4545-4564, (2016).
[12] Coşkun A., Bostanci Ü., “Vulnerability analysis of smart phone and tablet operating systems”, Tehnički vjesnik, 25(6): 1860-1866, (2018).
[13] Iyer N., Jayanti S., Lou K., Kalyanaraman Y., Ramani K., “Three-dimensional shape searching: State-of-the-art review and future trends”, Computer-Aided Design, 37(5): 509-530, (2005).
[14] Gonzalez R. C., Woods R. E., “Digital Image Processing”, Publishing House of Electronics Industry, (2002).
[15] Ankerst M., Kastenmüller G., Kriegel H. P., Seidl T., “3D shape histograms for similarity search and classification in spatial databases”, International Symposium on Spatial Databases, Berlin, Heidelberg, 207-226, (1999).
[16] Tangelder J. W., Veltkamp R. C., “A survey of content based 3d shape retrieval methods”, Proceedings Shape Modeling Applications, 7-9 June, Genova, 145-156, (2004).
[17] Choras R. S., “Image feature extraction techniques and their applications for cbir and biometrics systems”, International Journal of Biology and Biomedical Engineering, 1(1): 6-16, (2007).
[18] Kumar G., Bhatia P. K., “A detailed review of feature extraction in image processing systems”, Fourth International Conference on Advanced Computing & Communication Technologies, 8-9 February, Rohtak, 5- 12, (2014).
[19] Cho M., Kwak S., Schmid C., Ponce J., “Unsupervised object discovery and localization in the wild: part-based matching with bottom-up region proposals”, IEEE Conference on Computer Vision and Pattern Recognition, 7-12 June, Massachusetts, 1201-1210, (2015).
[20] Kazhdan M., Funkhouser T., Rusinkiewicz S., “Rotation Invariant Spherical Harmonic Representation of 3D Shape Descriptors”, In Symposium on Geometry Processing, 156-164, (2003).
[21] Chen D. Y., Tian X. P., Shen Y. T., Ouhyoung M. “On Visual Similarity Based 3D Model Retrieval”, In Computer Graphics Forum, September, 223-232, (2003).
[22] Körtgen M., Park G. J., Novotni M., Klein R., “3D Shape Matching with 3D Shape Contexts”. In The 7th Central European Seminar on Computer Graphics, 5-17, (2003).
[23] Daras P., Axenopoulos A., “A 3D Shape Retrieval Framework Supporting Multimodal Queries” International Journal of Computer Vision, 89(2-3): 229-247, (2010).
[24] Huang P., Hilton A., Starck J., “Shape Similarity for 3D Video Sequences of People”, International Journal of Computer Vision, 89(2-3): 362-381, (2010).
[25] Otsu N., “A Threshold Selection Method from Gray-Level Histograms”, IEEE Transactions on Systems, Man, and Cybernetics, 9(1): 62-66, (1979).
[26] Coşkun A., “Simulated annealing algorithm and layout optimization for the contents of a web page”. 3rd International Conference on Electronics Computer Technology, 353-357, (2011).
[27] Coşkun A., “Optimization of a Mini-Golf Game using the Genetic Algorithm”, Electronics And Electrical Engineering, 109(3): 97-100, (2011).
[28] Coşkun A., Arıcı N., “Defining the Possible Molecular Structure of the Drug to Be Penetrated through Skin Layers Using Genetic Algorithm”, Gazi University Journal of Science, 24 (2): 36-41, (2014).

APA	Uzun Arslan R, Dikici S, INCETAS M (2019). Effects of Character Recognition with Shell Histogram Method Using Plate Characters. , 1093 - 1099.
Chicago	Uzun Arslan Rukiye,Dikici Sedat,INCETAS MÜRSEL OZAN Effects of Character Recognition with Shell Histogram Method Using Plate Characters. (2019): 1093 - 1099.
MLA	Uzun Arslan Rukiye,Dikici Sedat,INCETAS MÜRSEL OZAN Effects of Character Recognition with Shell Histogram Method Using Plate Characters. , 2019, ss.1093 - 1099.
AMA	Uzun Arslan R,Dikici S,INCETAS M Effects of Character Recognition with Shell Histogram Method Using Plate Characters. . 2019; 1093 - 1099.
Vancouver	Uzun Arslan R,Dikici S,INCETAS M Effects of Character Recognition with Shell Histogram Method Using Plate Characters. . 2019; 1093 - 1099.
IEEE	Uzun Arslan R,Dikici S,INCETAS M "Effects of Character Recognition with Shell Histogram Method Using Plate Characters." , ss.1093 - 1099, 2019.
ISNAD	Uzun Arslan, Rukiye vd. "Effects of Character Recognition with Shell Histogram Method Using Plate Characters". (2019), 1093-1099.

APA	Uzun Arslan R, Dikici S, INCETAS M (2019). Effects of Character Recognition with Shell Histogram Method Using Plate Characters. Politeknik Dergisi, 22(4), 1093 - 1099.
Chicago	Uzun Arslan Rukiye,Dikici Sedat,INCETAS MÜRSEL OZAN Effects of Character Recognition with Shell Histogram Method Using Plate Characters. Politeknik Dergisi 22, no.4 (2019): 1093 - 1099.
MLA	Uzun Arslan Rukiye,Dikici Sedat,INCETAS MÜRSEL OZAN Effects of Character Recognition with Shell Histogram Method Using Plate Characters. Politeknik Dergisi, vol.22, no.4, 2019, ss.1093 - 1099.
AMA	Uzun Arslan R,Dikici S,INCETAS M Effects of Character Recognition with Shell Histogram Method Using Plate Characters. Politeknik Dergisi. 2019; 22(4): 1093 - 1099.
Vancouver	Uzun Arslan R,Dikici S,INCETAS M Effects of Character Recognition with Shell Histogram Method Using Plate Characters. Politeknik Dergisi. 2019; 22(4): 1093 - 1099.
IEEE	Uzun Arslan R,Dikici S,INCETAS M "Effects of Character Recognition with Shell Histogram Method Using Plate Characters." Politeknik Dergisi, 22, ss.1093 - 1099, 2019.
ISNAD	Uzun Arslan, Rukiye vd. "Effects of Character Recognition with Shell Histogram Method Using Plate Characters". Politeknik Dergisi 22/4 (2019), 1093-1099.