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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...
Arabic script is cursive in both printed and handwritten forms. This intrinsic nature of cursiveness renders the segmentation task challenging. An Arabic word generally consists of multiple parts known as Parts of Arabic Words (PAWs) or simply sub-words. Sub-words share the same vertical space quite frequently which makes vertical projection segmentation technique inefficient. Several Arabic letters...
the focal idea of following paper is to introduce a system which is more usable and efficient to detect and recognize the vehicle number plate in Pakistani scenario. There are always some constraints in which an automatic number plate recognition (ANPR) system work. The challenges include poor illumination, camera speed and variable background. In this paper, we propose a method where distinct feature...
Handwritten character recognition has been emerging topic studied in the last half century and shape up to the level which is sufficient to develop a technology driven application. Now the rapidly increase in the computation power, CR creates an increasing demand for new emerging applications, which require more advanced methodologies. The problem of character segmentation and its recognition in India...
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 Tulu is one of five noteworthy Dravidian dialect with numerous Tulu historical documents which are available within handwritten form.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...
The preeminent reason for poor output in Optical Character Recognition (OCR) for Bangla text is introduced by segmentation related error. Different shape of characters, connected characters, modifiers in top and bottom, overlapped region between consecutive characters are the main obstacle for effective segmentation for Bangla printed text. In this paper an efficient strategy is introduced to segment...
Inspecting the quality of printed texts has its own importance in many industrial applications. To do so, this paper proposes a grading system which evaluates the performance of the printing task using some quality measures for each character and symbols. The purpose of these grading system is two-folded: for costumers of the printing and verification system, the overall grade used to verify if the...
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...
In this paper, a new approach for Iranian vehicle license plate recognition (LPR) is proposed. The proposed algorithm contains four main steps including plate localization, segmentation, recognition, and fusion of multiple recognition results. The license plate localization is begun with some preprocessing for down-sampling, denoising and histogram equalization. Then, histogram of vertical edges is...
In this work, an approach for Arabic handwriting word segmentation is proposed. In this approach words are over-segmented and the segmentation points (SPs) are then validated. As the validation stage accuracy controls the whole system accuracy, an improved validation approach is proposed to alleviate other approaches' limitations and enhances the accuracy. In this validation approach, a set of zoning...
Earlier, research was restricted to the images acquired by traditional scanners, however an innovative trend of research has emerged with the evolution of portable, high speed digital cameras and multimedia mobile phones comprising smart features. They provided us the opportunity to employ them for image acquisition as an alternate to traditional scanners for the recognition purpose. This subject...
Modern amenities, fast data transfer and minimum delay have now become the basic requirements of all the services. This has now come in a large way in transport services also. One such service offered to transport system is toll collection. Initially toll collection was manual but now due to development in various fields it is slowly moving towards automation. The system discussed in this paper is...
Handwritten character recognition is a part of optical character (OCR) system. OCR can be applied to both printed text and handwritten documents. In this paper we discussed the handwritten character recognition of Meitei Mayek (Manipuri script). Although OCR has been studied and developed for many Indian script very few works have been reported so far for Meitei-Mayek. This paper describes the handwritten...
OCR is the system that works in the domain of Natural Language Processing and Image Processing. This system is used to convert all the text information that is present in image form to text format. For OCR, identification of the text in printed, handwritten and degraded document images is a challenging task due to the high inter/intra-variation between the background and the foreground of document...
A rotationally invariant optical character recognition system for Sinhala language is developed using Two Dimensional Fourier Transform and Artificial Neural Networks. Sinhala characters of different fonts and font sizes are recognized with over 85% recognition accuracy. Segmentation method based on histogram used in this system gives segmentation accuracy over 70% for complex Sinhala characters.
This paper examines the problem of decoding a unique CAPTCHA that has very high noise levels with only partially visible symbols with variable spacing but no skewing. An ingenious method for decoding is proposed that starts with preprocessing the image and identifies symbols first before removing them from the image, unlike a number of existing methods. The algorithm is expected to be very fast owing...
As is well known, good segmentation is one reason for high accuracy of character recognition; this paper proposes and investigates a new technique for segmentation of handwritten Arabic scripts. A new Arabic heuristic segmenter (AHS) has been implemented. The AHS employs three new features to locate a Prospected Segmentation Point (PSP) based on shape of the word image, first, remove the punctuation...
Braille recognition is the ability to detect and recognize Braille characters embossed on Braille document. The result is used in several applications such as embossing, printing, translating…etc. However, the performance of these applications is affected by poor quality imaging due to several factors such as scanner quality, scan resolution, lighting, and type of embossed documents. In this work,...
Vehicle License Plate Recognition (VLPR) system is a core module in Intelligent Transportation Systems (ITS). In this paper, a VLPR system is proposed. Considering that license plate localization is the most important and difficult part in VLPR system, we present an effective license plate localization method based on analysis of Maximally Stable Extremal Region (MSER) features. Firstly, MSER detector...
Skew angle estimation is an important component of optical character recognition (OCR) systems. In this paper, a new optimizing method is introduced that is called “Finding the Skew with Radon (FSR)” in order to estimate the skew of the handwritten text. The above mentioned method has three stages. First of all, input text image is converted into a binary form and then the words and sub-words are...
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