Hand-drawn sketch is a natural and direct way to express people’s thought and meaning and is of common use in many different fields. Document image analysis is an active and challenging area of research in computer vision. Documents comprise of text and graphics. Machine recognition of hand-written text involves languages, mathematical symbols, digits, medical symbols etc. Machine recognition o...

Image Compression is to minimize the size in bytes of a graphics file without degrading the quality of the image to an unacceptable level. The compound image compression normally based on three classification methods that is object based, layer based and block based. This paper presents a block-based segmentation. for visually lossless compression of scanned documents that contain not only phot...

Sequence alignment is a common and often repeated task in molecular biology. The need for speeding up this treatment comes from the rapid growth rate of biological sequence databases. In this paper we present a new approach to high performance biological sequence database scanning on graphics processing units. Using modern graphics processing units for high performance computing is facilitated ...

This study examined the field of visualizations in computer graphics (VCG) using bibliometric methods, including performance and science mapping analysis. A dataset documents from SCOPUS, 1986 to 2019, was analyzed visualized VOSviewer. The results showed an increasing trend new VCG. five most cited publications were all related data visualization software. prolific authors, by Citation per Pap...

Computer Graphics is an important discipline and is present in almost every undergraduate Computer Science curriculum. To create graphical content, both 2D Computer Graphics and Image Processing are essential. 2D Computer Graphics and Image Processing also have strong theoretical relationships. Based on a survey of Computer Graphics courses in undergraduate Computer Science curricula, 84 percen...

Maintaining a document in image form is often preferable in order to avoid the high cost of manual conversion or the introduction of large numbers of errors by automatic OCR and/or graphics interpretation. The large volume of data in the image can be greatly reduced by using compression techniques. Text-intensive document images typically have a great deal of redundancy in the bitmap representa...

This paper presents an algorithm called CIPDEC (Content Integrity of Printed Documents using Error Correction), which identifies any modifications made to a printed document. CIPDEC uses an error correcting code for accurate detection of addition/deletion of even a few pixels. A unique advantage of CIPDEC is that it works blind – it does not require the original document for such detection. Ins...

In this paper we present a method for segmentation of documents image with complex structure. This technique based on GLCM (Grey Level Co-occurrence Matrix) used to segment this type of document in three regions namely, 'graphics', 'background' and 'text'. Very briefly, this method is to divide the document image, in block size chosen after a series of tests and then applying the co-occurrence ...