PARALLEL PROCESSING OF HANDWRITTEN TEXT FOR IMPROVED BIQE ACCURACY

Optimizing the accuracy of BIQE systems is crucial for their effective deployment in numerous applications. Handwritten text recognition, a key component of BIQE, often faces challenges due to its inherent variability. To mitigate these difficulties, we explore the potential of parallel processing. By analyzing and classifying handwritten text in b