Designing the ANPR Pipeline using State of the Art Techniques
Automated Number plate recognition (ANPR) is a subject area undergoing intense research and adoption in recent times. Various combinations of state of the art techniques and methodologies have been proposed to solve the problem end to end, with mixed results. These techniques include computer vision based mathematical notations and training based on artificial neural network (ANN). Recently ANPR has seen adoption in areas such as parking optimization, security surveillance in public and private places, law enforcement and traffic violation tracking. Selecting the most efficient and accurate algorithm and method depends heavily on the underlying use case being addressed as well as on prevalent environmental factors. This is because the intrinsic factors and challenges of a particular use case can translate into many subtle changes to the input frame. For example, In India, vehicle license plates can have characters of different languages, fonts and styles. And an implementation for a parking area may be subject to different conditions of lighting when compared to one for traffic signals or security surveillance. As such it is extremely hard to find a one-size fits-all solution to this problem. In this paper, we will discuss some of the current methods such as Morphology, LBP classification, OCR, CNN and others. We will highlight the results we obtained when using each of them and some of their pros and cons when applied in certain conditions. This will assist in building an efficient ANPR pipeline architecture starting from live feeds and ending at real time actions.
- There are currently no refbacks.
Disclaimer/Regarding indexing issue:
We have provided the online access of all issues and papers to the indexing agencies (as given on journal web site). It’s depend on indexing agencies when, how and what manner they can index or not. Hence, we like to inform that on the basis of earlier indexing, we can’t predict the today or future indexing policy of third party (i.e. indexing agencies) as they have right to discontinue any journal at any time without prior information to the journal. So, please neither sends any question nor expects any answer from us on the behalf of third party i.e. indexing agencies.Hence, we will not issue any certificate or letter for indexing issue. Our role is just to provide the online access to them. So we do properly this and one can visit indexing agencies website to get the authentic information.