Advances in Pattern Recognition - ICAPR 2001
Title | Advances in Pattern Recognition - ICAPR 2001 PDF eBook |
Author | Sameer Singh |
Publisher | Springer |
Pages | 491 |
Release | 2003-06-29 |
Genre | Computers |
ISBN | 3540447326 |
The paper is organized as follows: In section 2, we describe the no- orientation-discontinuity interfering model based on a Gaussian stochastic model in analyzing the properties of the interfering strokes. In section 3, we describe the improved canny edge detector with an ed- orientation constraint to detect the edges and recover the weak ones of the foreground words and characters; In section 4, we illustrate, discuss and evaluate the experimental results of the proposed method, demonstrating that our algorithm significantly improves the segmentation quality; Section 5 concludes this paper. 2. The norm-orientation-discontinuity interfering stroke model Figure 2 shows three typical samples of original image segments from the original documents and their magnitude of the detected edges respectively. The magnitude of the gradient is converted into the gray level value. The darker the edge is, the larger is the gradient magnitude. It is obvious that the topmost strong edges correspond to foreground edges. It should be noted that, while usually, the foreground writing appears darker than the background image, as shown in sample image Figure 2(a), there are cases where the foreground and background have similar intensities as shown in Figure 2(b), or worst still, the background is more prominent than the foreground as in Figure 2(c). So using only the intensity value is not enough to differentiate the foreground from the background. (a) (b) (c) (d) (e) (f)
Advances in Pattern Recognition - ICAPR 2001
Title | Advances in Pattern Recognition - ICAPR 2001 PDF eBook |
Author | Sameer Singh |
Publisher | Springer |
Pages | 482 |
Release | 2001-02-28 |
Genre | Computers |
ISBN | 9783540417675 |
The paper is organized as follows: In section 2, we describe the no- orientation-discontinuity interfering model based on a Gaussian stochastic model in analyzing the properties of the interfering strokes. In section 3, we describe the improved canny edge detector with an ed- orientation constraint to detect the edges and recover the weak ones of the foreground words and characters; In section 4, we illustrate, discuss and evaluate the experimental results of the proposed method, demonstrating that our algorithm significantly improves the segmentation quality; Section 5 concludes this paper. 2. The norm-orientation-discontinuity interfering stroke model Figure 2 shows three typical samples of original image segments from the original documents and their magnitude of the detected edges respectively. The magnitude of the gradient is converted into the gray level value. The darker the edge is, the larger is the gradient magnitude. It is obvious that the topmost strong edges correspond to foreground edges. It should be noted that, while usually, the foreground writing appears darker than the background image, as shown in sample image Figure 2(a), there are cases where the foreground and background have similar intensities as shown in Figure 2(b), or worst still, the background is more prominent than the foreground as in Figure 2(c). So using only the intensity value is not enough to differentiate the foreground from the background. (a) (b) (c) (d) (e) (f)
Advances in Pattern Recognition (ICAPR), 2015 Eighth International Conference on
Title | Advances in Pattern Recognition (ICAPR), 2015 Eighth International Conference on PDF eBook |
Author | |
Publisher | |
Pages | |
Release | 2015 |
Genre | |
ISBN |
Pattern Recognition in Biology
Title | Pattern Recognition in Biology PDF eBook |
Author | Marsha S. Corrigan |
Publisher | Nova Publishers |
Pages | 268 |
Release | 2007 |
Genre | Computers |
ISBN | 9781600217166 |
Pattern recognition is the research area that studies the operation and design of systems that recognise patterns in data. It encloses subdisciplines like discriminant analysis, feature extraction, error estimation, cluster analysis (together sometimes called statistical pattern recognition), grammatical inference and parsing (sometimes called syntactical pattern recognition). Important application areas are image analysis, character recognition, speech analysis, man and machine diagnostics, person identification and industrial inspection. This book presents leading-edge research from around the world.
Pattern Recognition
Title | Pattern Recognition PDF eBook |
Author | DAGM (Organization). Symposium |
Publisher | Springer Science & Business Media |
Pages | 638 |
Release | 2003-09-16 |
Genre | Computers |
ISBN | 3540408614 |
This book constitutes the refereed proceedings of the 25th Symposium of the German Association for Pattern Recognition, DAGM 2003, held in Magdeburg, Germany in September 2003. The 74 revised papers presented were carefully reviewed and selected from more than 140 submissions. The papers address all current issues in pattern recognition and are organized in sections on image analyses, callibration and 3D shape, recognition, motion, biomedical applications, and applications.
Pattern Recognition
Title | Pattern Recognition PDF eBook |
Author | Bernd Michaelis |
Publisher | Springer |
Pages | 638 |
Release | 2003-09-09 |
Genre | Computers |
ISBN | 3540452435 |
This book constitutes the refereed proceedings of the 25th Symposium of the German Association for Pattern Recognition, DAGM 2003, held in Magdeburg, Germany in September 2003. The 74 revised papers presented were carefully reviewed and selected from more than 140 submissions. The papers address all current issues in pattern recognition and are organized in sections on image analyses, callibration and 3D shape, recognition, motion, biomedical applications, and applications.
Research Anthology on Advancements in Quantum Technology
Title | Research Anthology on Advancements in Quantum Technology PDF eBook |
Author | Management Association, Information Resources |
Publisher | IGI Global |
Pages | 468 |
Release | 2021-03-19 |
Genre | Science |
ISBN | 1799887405 |
Quantum technology has arrived as one of the most important new topics of research, as it is the newest way to create computing power, harness secure communications, and use sensitive measurement methods that surpass the capabilities of modern supercomputers. If successfully developed, quantum computers and technology will be able to perform algorithms at impressively quick rates and solve problems that were previously deemed impossible. This technology will disrupt what is already known about computing and will be able to reach new heights, speeds, and problem-solving capabilities not yet seen. Beyond its inherent benefits comes the fact that quantum technology will create improvements in many everyday gadgets as well, spanning many industries. The Research Anthology on Advancements in Quantum Technology presents the latest discoveries in quantum technology itself along with providing its essential uses, applications, and technologies that will impact computing in modern times and far into the future. Along with this overview comes a look at quantum technology in many different fields such as healthcare, communications, aviation, automotive, forecasting, and more. These industries will be looked at from the perspective of data analytics, pattern matching, cryptography, algorithms, and more. This book is essential for computer scientists, engineers, professionals, researchers, students, and practitioners interested in the latest information on quantum technology.