**5. Conclusion**

With the advent of fast and cheap machines, digital image processing has become a very highly demanded field of study and practice. It provides solutions to various real-life applications in an economical way. Various techniques have been developed to build intelligent systems; many of them are in progress at various facilities internationally. This chapter has provided some introductory notes on image processing, its brief history, methodologies, tasks, software, and applications. It will help to kick start the community interested to have some knowhow on the image processing subject. The future of digital image processing has a high probability to contribute toward the build of smart and intelligent world in terms of health, education, defense, traffic, homes, offices, cities, etc.

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**Author details**

Muhammad Sarfraz

muhammad.sarfraz@ku.edu.kw

provided the original work is properly cited.

Department of Information Science, College of Life Sciences, Kuwait University,

© 2020 The Author(s). Licensee IntechOpen. This chapter is distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/ by/3.0), which permits unrestricted use, distribution, and reproduction in any medium,

Sabah AlSalem University City, Shadadiya, Kuwait

\*Address all correspondence to: prof.m.sarfraz@gmail.com;

*Introductory Chapter: On Digital Image Processing DOI: http://dx.doi.org/10.5772/intechopen.92060*

*Introductory Chapter: On Digital Image Processing DOI: http://dx.doi.org/10.5772/intechopen.92060*

*Digital Imaging*

approach involves four steps including vertical edge detection, size-and-shape filtering, vertical edge matching, and finding B/W (Black/White) ratio.

ods: Pixel Count and Horizontal and Vertical Projection.

health, education, defense, traffic, homes, offices, cities, etc.

**License plate segmentation:** License plate segmentation takes the region of interest and attempts to divide it into individual characters. To ease the process of detecting the characters, the extracted plate is divided into independent images, each containing one isolated character with letters and numerals depending on the structure of the license plate. It is proposed to have segmentation using two meth-

**License plate recognition:** The last phase in LPR system is to recognize the isolated characters. After splitting the extracted license plate into six images, the character in each image can be identified. There are many methods to recognize isolated characters; we suggest using Syntactic approach and Neural network

With the advent of fast and cheap machines, digital image processing has become a very highly demanded field of study and practice. It provides solutions to various real-life applications in an economical way. Various techniques have been developed to build intelligent systems; many of them are in progress at various facilities internationally. This chapter has provided some introductory notes on image processing, its brief history, methodologies, tasks, software, and applications. It will help to kick start the community interested to have some knowhow on the image processing subject. The future of digital image processing has a high probability to contribute toward the build of smart and intelligent world in terms of

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approach.

**Figure 1.**

*Structure of the proposed system.*

**5. Conclusion**
