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Captcha recognition plays an important role in Internet security, and conglutination characters segmentation is still the bottleneck of captcha recognition research. In this paper, a method of captcha segmentation based on improved vertical projection can efficiently solve the segmentation problem of different types of conglutination characters in captcha combining both numbers and letters, so as...
Text recognition has revolutionized the world of image processing and intelligent transportation system (ITS). It opened several possibilities to traditional ITS concept. Advancement in text recognition has made it possible to implement text recognition in ITS. Traffic panel text recognition, a real time application is considered as a key addition to the revolution in modern ITS. This research aims...
Designing of an automated parking fee calculation using license plate recognition aims to solve the problem of identifying the vehicle license plate number at the parking lot. The image processing theories and researches related to character recognition were used to design the system. The techniques used in this system are RGB Image to Grayscale Image, Grayscale Image to Binary Image, Edge Detection,...
Automatic character recognition of handwritten numerals and characters has been an active subject of research due to its importance on industrial as well as educational platform. The off-line handwritten character recognition is an active area for research towards the new techniques that would help to improve recognition accuracy. Now a day's looking forward for rapidly growing technologies, with...
This paper describes an online handwritten cursive word recognition approach by combining segmentation-free and segmentation-based methods. To search the optimal segmentation and recognition path as the recognition result, we can attempt two methods: segmentation-free and segmentation-based, where we expand the search space using a character-synchronous beam search strategy. The probable search paths...
The use of vehicles in our life is increasing exponentially day by day and as increasing vehicles are violating the traffic rules, theft of vehicles, entering in restricted areas, high number of accidents lead to increase in the crime rates linearly. For any vehicle to be recognized, vehicle license plate detection will play a major significant role in this active world. For finding vehicles commonly...
Devanagari script is being used in various languages, in South Asian subcontinent, such as Sanskrit, Rajasthan, Marathi and Nepali and it is also the script of Hindi, the mother tongue of majority of Indians. Recognition of handwritten words of Devanagari script is an important area of research. A person who knows the script of a language can easily read the hand-printed words pertaining to that script...
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...
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...
Pattern Matching is useful for recognizing character in a digital image. Optical Character Recognition (OCR) is one such technique which reads character from a digital image and recognizes them. Line segmentation is initially used for identifying character in an image and later refined by morphological operations like binarization, erosion, thinning etc. The work discusses a recognition technique...
Character segmentation plays an important role in Optical Character Recognition (OCR) for Indian Script. The image to be segmented consists of various characters and is broken down into different segmented images of individual characters. These segmented characters are then fed to the Recognition phase of OCR. This paper covers only the segmentation of Devnagari script, as it consists of vowels, consonants...
Optical Character Recognition alludes to the methodology of taking images or photos of letters or typewritten content and changing over them into information that a machine can easily interpret, e.g. organizations and libraries taking physical duplicates of books, magazines, or other old printed material and utilizing OCR to put them into computers. Segmentation is the indispensable and most difficult...
License plate recognition (LPR) plays a significant role throughout this busy world, owing to the rise in vehicles day by day. Stealing of vehicles, breaking traffic rules, coming into restricted space also are increasing linearly, thus to dam this act registration code recognition is intended. Among the fundamental process steps such as detection of number plate, segmentation of characters and recognition...
Bangla handwritten character recognition is one of the complex works because of the wide variation of the Bangla character. In this paper we proposed a new approach for extracting the features of Bangla handwritten characters and then recognition of those characters using artificial neural network has done. For the feature extraction process we have used a row and column basis segmentation process...
This paper proposes a new hybrid classification technique for recognizing printed digits. The feature extraction was performed using object region boundary analysis, Fourier Descriptors (FD) and Chain code based algorithm. A new curve tracing Chain code based algorithm (CTCC) was proposed to extract the curve features from the digit images. The recognition was performed using dynamic programming and...
A recognition system for text code and its application to an embedded machine is presented. The system consists of encoding, decoding and recognition modules. During the encoding and decoding processes, a novel encoding and a mapping mode are proposed based on the theories of Reed-Solomon. During the recognition process, three new approaches are proposed. The first is a partitioning and sliding binarization...
In this paper, an approach of hand-printed English character recognition is developed based on Fuzzy theory. The approach has two main functions, which are feature extraction and pattern recognition. Applying the feature extraction method carries out the feature properties that is used in identification process. For the pattern recognition, the Fuzzy theory is adopted to deal with the fuzzy patterns...
License plate detection and recognition is one of the most important aspects of applying computer techniques towards intelligent transportation systems. Detecting the accurate location of a license plate from a vehicle image is the most crucial step of a license plate detection system. This paper describes a proposing of a new region-based license plate detection method based on a symbol analysis...
In this work, the Automatic Parking and Retrieval System (APRS) is proposed to overcome the parking space problem. This system will save space, time, environment and security. The main part that involves in this system is car plate identification and recognition. The plate recognition is used as an identity number to park the car into the available parking space or slot. Therefore in this paper, car...
This paper proposes an online handwritten English characters segmentation method based on rules. Firstly, all the local minima of the character coordinate sequences are treated as potential segmentation points; Secondly, we calculate 5 features of every potential segmentation point; Finally, the potential segmentation points are modified according to the rules to get the final segmentation points...
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