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This work is focused on recognition of license plates in low resolution and low quality images. We present a methodology for collection of real world (non-synthetic) dataset of low quality license plate images with ground truth transcriptions. Our approach to the license plate recognition is based on a Convolutional Neural Network which holistically processes the whole image, avoiding segmentation...
This paper describes a web-based system for page segmentation and text recognition of historical documents. The system is organised following a pipeline of 4 steps : 1) digitisation, 2) preprocessing, 3) textline extraction, and 4) handwritten text recognition based on hidden Markov models. In this study we used to evaluate the system the “Statuti del Doge Tiepolo”, a 14th century manuscript written...
Text in natural scenes provides many information for peoples and presents an essential tool to interact with their environment. Therefore, recognizing text existing in camera-captured images has become an important issue for many researches in the last decades. Currently, there isn't any available dataset of Arabic script text images in the wild. Since our aim is to help the research community in...
The authors have conducted studies on Arabic news caption recognition to develop a system for video retrieval by keyword to index and edit Arabic broadcast programs received daily and stored in a big database. This paper proposes a dedicated OCR for recognizing low resolution news caption in video images. The news caption recognition system consisting of text line extraction, word segmentation and...
The technological advancement and sophistication in cameras and gadgets prompt researchers to have focus on image analysis and text understanding. The deep learning techniques demonstrated well to assess the potential for classifying text from natural scene images as reported in recent years. There are variety of deep learning approaches that prospects the detection and recognition of text, effectively...
Nowadays intelligent transportation system has become an active research field, automated vehicle identification is the primary aspect for achieving good intelligent traffic analysis, this paper illustrates a comparative study among three techniques that used for identifying vehicles: ANPR system, Barcode system, and RFID system. In addition, this paper describes similarities, differences, and challenges.
The aim of this paper is to develop a system that involves character recognition of Brahmi, Grantha and Vattezuthu characters from palm manuscripts of historical Tamil ancient documents, analyzed the text and machine translated the present Tamil digital text format. Though many researchers have implemented various algorithms and techniques for character recognition in different languages, ancient...
Many Chinese characters are composed of sub-structures. Extracting and recognizing radicals or sub-structures are benefit to character recognition. This paper proposed a new handwritten Chinese character recognition method combining sub-structure recognition. Firstly, a density-based clustering method is adopted to find sub-structure patterns in sub-structure pattern discovering. Secondly, for multiple...
Building an effective methodology to detect characters from images with less error rate is the great task. Our aim is to furnish such an algorithm that will be able to generate error free recognition of text from the given input image which will help in document digitizing and prevention to the hand written text recognition. OCR has been in the intensive research topic for more than 4 decades, it...
Headlights detection is the key point for the automatic recognition of the turned-on high beams in night-driving vehicles, however, it is uneasy to identify the quite similar vehicle light targets from the video frame images. To solve this problem, an accurate algorithm for headlights region segment is proposed in this paper, which is based on the confidence intervals estimation of the vehicle width...
OCR is the most active, interesting evaluation invention of text cum character processing recognition and pattern based image recognition. In present life OCR has been successfully using in finance, legal, banking, health care and home need appliances. The OCR consists the different levels of processing methods like as Image Pre Acquisition, Classification, Post-Acquisition, Pre-Level processing,...
This paper presents a localization and recognition method for railway oil tank wagon ID in the industrial scene. Firstly, we use the maximum stable extremal regions (MSER) algorithm to obtain the extreme regions, and extract effective areas from the extracted extremal regions. Then the effective areas of the regions are merged into triplets region sequence as an ID candidate region, and we select...
Preserving old archives with readable and editable structure helps people to gain additional experience. Tulu is one of five noteworthy Dravidian dialect with numerous Tulu historical documents which are available within handwritten form. Tulu scripts are rich in patterns with many combinations of connected characters. Henceforth, machine recognition is a major challenge. Till now, no strategy is...
License Plate Recognition (LPR) is a key technology for many applications. But, most methods in the literature for LPR are only suitable for stable illumination environment. In this paper, we present an algorithm for both license plate localization and recognition in day time and night time. The first step of the proposed method is to enhance the image using high dynamic range (HDR). The tile correction...
The relevance of this study is stipulated by the necessity of designing algorithms allowing to improve the efficiency of characters recognition on images with complex backgrounds subjected to noise, affine and projective transformations. Purpose: Development of algorithms and software system allowing to improve the efficiency of characters recognition on images with complex backgrounds subjected to...
The most important necessity in image processing lies in the conversion of ancient Tamil characters to modern text. The ancient Tamil stone inscriptions are the source for these ancient Tamil characters. Analysing and Recognising the ancient Tamil characters from the scripts called inscriptions is a difficult task for the present generation who learn to educate, read and write only through the modern...
CAPTCHA (Completely Automated Public Turing test to Tell Computers and Humans Apart) is almost everywhere in data entry due to automated scripts like bots. Nowadays, text-based scheme is still applied most widely, which typically need the users to answer questions regarding recognition task. In particular, the segmentations of different types of CAPTCHAs are not always the same. As so far, there isn't...
We present an intelligent bump system incorporated with the speed detection and dynamic license plate recognition techniques. The idea is to determine the enforcement of the speed bump based on the speed and identification of the vehicle. As a part of intelligent transportation systems for providing the traffic flow control, the proposed technique makes the driving safer and more comfortable. In the...
Immense analysis has been done on optical character recognition (OCR). Numerous works has stated for English, Chinese, Devanagari, Malayalam, Arabic scripts, etc. Segmentation has imp phase in OCR and various articles have been published on different segmentation methods like Thinning, histogram etc for different script during last few years. Generally there is not work done on Overlapped and touching...
Unfortunately, there is very little opportunity for disabled people to get a job, especially for the visually impaired. Most of them survive by selling lottery tickets but it is difficult for the visually impaired to know the digits on a lottery ticket or the results. This paper presents an algorithm to recognize lottery digits and development of an application to read and check the lottery digits...
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