Improved Recognition Results of Medieval Handwritten Gurmukhi Manuscripts Using Boosting and Bagging Methodologies Recognition of medieval handwritten Gurmukhi manuscripts is an essential process for resourceful contents exploitation of the priceless information contained in them.
It is closely akin to machine learning, and also finds applications in fast emerging areas such as biometrics, bioinformatics, multimedia data analysis and most recently data science. The journal Pattern Recognition was established some 50 years ago, as the field emerged in the early years of computer science.
Over the intervening years it has expanded considerably. The journal accepts papers making original contributions to the theory, methodology and application of pattern recognition in any area, provided that the context of the work is both clearly explained and grounded in the pattern recognition literature.
Papers whos primary concern falls outside the pattern recognition domain and which report routine applications of it using existing or well known methods, should be directed elsewhre.
The publication policy is to publish 1 new original articles that have been appropriately reviewed by competent scientific people, 2 reviews of developments in the field, and 3 pedagogical papers covering specific areas of interest in pattern recognition.
Various special issues will be organized from time to time on current topics of interest to Pattern Recognition. Submitted papers should be single column, double spaced, no less than 20 and no more than 35 40 for a review pages long, with numbered pages.Suggested Research Topics Completed DPS dissertation study by Carl Abrams, see conference papers.
AI and Pattern Recognition studies relating to the Human Brain See CSIS Research Day papers describing masters-level projects in . 40th German Conference on Pattern Recognition (GCPR ) Stuttgart, Germany, October , Paper Submission Deadline: July 4, research.
Submitted papers will be reviewed based on the criteria of originality, soundness, empirical evaluation, and presentation. Pattern Recognition is the official journal of the Pattern Recognition Society.
The Society was formed to fill a need for information exchange among research workers in the pattern recognition field. The Applied Imagery Pattern Recognition (AIPR) annual workshops bring together researchers from government, industry, and academia in an elegant setting conducive to technical interchange across a broad range of disciplines.
The papers span a range from research to fielded systems and provide, to managers and developers alike, a broad vision of the applicability of image analysis technologies.
This paper summarizes the research work carried out in FP matching techniques, recognition methods and their performance analysis.
extraction module and a pattern matching module as shown in Fig. 1. An image capturing module acquires the raw biometric data of a person using a sensor.
Utilizing suitable. pattern recognition, and computer vision communities . The machine learning and com- puter graphics communities are also increasingly involved in face recognition.