Reorganization of License Plate Characteristics using Image Processing Techniques
Ramya keerthi P1, Niharika B2, Dinesh Kumar G3, Sai Venakat K4, Sheela Rani C M5
1Ramya keerthi P, CSE, Koneru Lakshmaiah Education Foundation , Guntur, (Andhra Pradesh), India.
2Niharika B, CSE, Koneru Lakshmaiah Education Foundation , Guntur, (Andhra Pradesh), India.
3Dinesh kumar G, CSE, Koneru Lakshmaiah Education Foundation , Guntur, (Andhra Pradesh), India.
4Sai venkat K, CSE, Koneru Lakshmaiah Education Foundation , Guntur, (Andhra Pradesh), India.
5Sheela rani C M, CSE, Koneru Lakshmaiah Education Foundation , Guntur, (Andhra Pradesh), India.
Manuscript received on 23 March 2019 | Revised Manuscript received on 30 March 2019 | Manuscript published on 30 March 2019 | PP: 1260-1264 | Volume-7 Issue-6, March 2019 | Retrieval Number: F29540376/19©BEIESP
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Abstract: In this paper, License Plate Recognition (LPR) assumes an imperative job on the planet, unpaid to the raise in vehicles slowly. Taking of vehicles, disregarding the traffic rules, coming into confined zones, and so forth.… Thus, to control these things acknowledgment code is expected. Among the essential procedure steps, for example, location of number plates, division of characters and acknowledgment of every character, character division assumes a critical job since precision of acknowledgment depends on how consummately the division is finished. Structures of customized license plate recognition are used for declaration of labels of vehicles. The present arrangement are not up to needed usage, so we need to develop a formation to beat the controls in the present arrangement.. Additional framework is presented for energetic and practical usage of License Plate Recognition structure named even and vertical edge zone calculation. This figuring is associated and empties unfortunate edges by picture institutionalization technique .The License Plate district is emptied by joining quantifiable and morphological picture arranging systems. .we are utilizing character confirmation for optical character acknowledgment (OCR) tangle lab tab.
Keywords: OCR(optical character recognition),horizontal edge detection, vertical edge detection, low pass filter greyscale conversion.
Scope of the Article: Image Security