Existing techniques for hand-written digit recognition (HDR) rely heavily on the hand-coded
key points and requires prior knowledge. Training an efficient HDR network with these …

Character recognition from handwritten images has received greater attention in research
community of pattern recognition due to vast applications and ambiguity in learning …

Handwritten digit recognition (HDR) shows a significant application in the area of
information processing. However, correct recognition of such characters from images is a …

Character recognition through handwritten documents' images has got more interest in the
pattern recognition community, due to its associated real-time applications. For handwritten …

Hand-written signatures are marked on documents to establish legally binding evidence of
identity and intent. However, they are prone to forgery, and the design of an accurate feature …

Preparing student's digital marksheet using images of student answer-books is a potential
application in academic institutions. Segmenting assigned marks automatically from answer …

Even though significant progress has been made in the field of pattern recognition in recent
years, handwritten digit recognition remains an exciting challenge. Due to its widely possible …

Finding the most unique traits that have strong discrimination capacities to be used for
confirmation, in particular with reference to the substantial variation that's intrinsic in real …

Traditional handwriting recognition systems depend on various features and prior
knowledge making its practical implementation more challenging. Handwriting recognition …

Resumen Las Redes Neuronales Artificiales están conformadas de uno o varios
operadores conocidos como neuronas artificiales que emulan el comportamiento de las …